International Business Machines Corporation patent applications on October 3rd, 2024
Patent Applications by International Business Machines Corporation on October 3rd, 2024
International Business Machines Corporation: 132 patent applications
International Business Machines Corporation has applied for patents in the areas of H01L23/528 (7), G06N20/00 (7), H01L29/423 (6), H01L29/06 (6), H01L29/775 (6) H01L27/092 (4), G06N20/00 (4), G06N3/08 (2), G06F3/0619 (2), G06N5/022 (2)
With keywords such as: data, based, computer, user, device, processor, structure, program, learning, and input in patent application abstracts.
Patent Applications by International Business Machines Corporation
Inventor(s): Theodore G. van Kessel of Millbrook NY (US) for international business machines corporation, Stacey Gifford of Ridgefield CT (US) for international business machines corporation, Benjamin Hardy Wunsch of Mt. Kisco NY (US) for international business machines corporation
IPC Code(s): B01D53/22, B01D69/02, B01D69/10, B01D71/02
CPC Code(s): B01D53/226
Abstract: an apparatus for enriching a target gas from a gas mixture. the apparatus includes a cascading series of parallel arrangements of a plurality of gas separator cells. the gas separator cells of a second stage receive the output of gas separator cells of a prior stage as input. a gas separator cell includes an input portion, and a depleted gas outlet that is fed to an input of another gas separator cell or fed back to upstream stages. the outlet of a current stage connects to an input inlet of a subsequent stage. the input and output portions of the gas separator cell connect to form a chamber formed by connection of the input portion and the output portion and which includes a gas permeable membrane, selective to a target gas. the gas separator cell includes a gas permeable material supporting the gas permeable membrane.
Inventor(s): Jeremy R. Fox of Georgetown TX (US) for international business machines corporation, Atul Mene of Morrisville NC (US) for international business machines corporation, Tushar Agrawal of Wells Fargo ND (US) for international business machines corporation, Sarbajit K. Rakshit of Kolkata (IN) for international business machines corporation
IPC Code(s): B29C64/386, B29C64/10, B33Y10/00, B33Y50/00
CPC Code(s): B29C64/386
Abstract: an approach for restoring friction level of a surface is disclosed. the approach comprises of utilizing iot devices, digital twin simulation and 3d printing to actively monitor and adjust surface friction of surfaces, rather than simply applying a passive anti-slip coating. furthermore, the approach can take into account various factors such as surface inclination, payload movement, and mobility path (via one or more simulations in a digital twin environment) in order to determine the necessary level of surface friction and the appropriate means of restoring it. the approach also allows for the determination of the required surface roughness and the selection of appropriate materials and printing methods in order to achieve it.
Inventor(s): Zachary A. Silverstein of Georgetown TX (US) for international business machines corporation, Logan Bailey of Atlanta GA (US) for international business machines corporation, Mauro Marzorati of Lutz FL (US) for international business machines corporation, Suman Patra of Kolkata (IN) for international business machines corporation
IPC Code(s): B29C64/393, B33Y50/02, G06Q30/012, G06Q30/0203, G06Q30/0601
CPC Code(s): B29C64/393
Abstract: in an approach for automatically printing a three-dimensional object to assist in a repair or replacement of a currently owned product, a processor identifies one or more components of the currently owned product to be repaired or replaced with a new product in response to determining that a user has purchased the new product that the user intends to use to replace or repair the currently owned product with based on a purchase history of the user. a processor retrieves a 3d printing file associated with the one or more components. a processor automatically 3d prints the one or more components using the 3d printing file.
Inventor(s): Ashok Kumar Iyengar of Encinitas CA (US) for international business machines corporation, Krishna Kumar Ramachandran of Cary NC (US) for international business machines corporation, Sharath Prasad Krishna Prasad of Flower Mound TX (US) for international business machines corporation, Brandon Curney Jones of Puyallup WA (US) for international business machines corporation, Sai Srinivas Gorti of Irving TX (US) for international business machines corporation, Jeric Saez of Las Vegas NV (US) for international business machines corporation
IPC Code(s): B60W40/12, B60W50/14, B60W60/00, H04W4/44
CPC Code(s): B60W40/12
Abstract: a method, a computer system, and a computer program product for vehicle height sensing are provided. a 5g nr transceiver of a computer receives a first 5g nr signal indicative of a vehicle approaching the 5g nr transceiver. the computer is fixed to a stationary object. in response to receiving the first 5g nr signal, the computer generates and transmits a second 5g nr signal. the 5g nr transceiver receives a third 5g nr signal in response to the transmitting of the second 5g nr signal. the computer determines a height of the vehicle by performing triangulation using the received third 5g nr signal. in response to the height exceeding a clearance distance of a stationary roadway structure associated with the computer, the computer generates and transmits a first response signal for altering a travel path of the vehicle.
Inventor(s): Theodore G. van Kessel of Millbrook NY (US) for international business machines corporation, Stacey Gifford of Ridgefield CT (US) for international business machines corporation, Benjamin Hardy Wunsch of Mt. Kisco NY (US) for international business machines corporation
IPC Code(s): G01N33/00, B01L3/00, B01L7/00, G01N1/42, G01N1/44, G01N11/00
CPC Code(s): G01N33/0027
Abstract: a system may comprise a heat spreader with a sample holder, an amine solution in the sample holder; a temperature sensor configured to measure a temperature of the amine solution; a heating and cooling device in the spreader, a gas flow valve connected to a gas inlet tube, wherein an end of the gas inlet tube sits below a surface level of the amine solution; and a co2 (carbon dioxide) sensor connected to a gas outlet tube.
Inventor(s): PAWEL OWCZARCZYK of HIGHLAND NY (US) for international business machines corporation, MARK CICHANOWSKI of HUTTO TX (US) for international business machines corporation, MICHAEL GREENE of AUSTIN TX (US) for international business machines corporation, MICHAEL ROMAIN of BEACON NY (US) for international business machines corporation
IPC Code(s): G01R31/28, H03K3/03, H03K3/037, H03K19/20
CPC Code(s): G01R31/2851
Abstract: configuring a fault-sensing ring oscillator circuit is disclosed. in a particular embodiment, a fault-sensing ring oscillator circuit includes a plurality of ring oscillators; an enable circuit configured to enable and disable the plurality of ring oscillators; an or circuit including a plurality of inputs, wherein each input is coupled to a respective ring oscillator of the plurality of ring oscillators; and a first fault detection latch including a set input coupled to a first output of the or circuit and a reset input coupled to the enable circuit, wherein the first fault detection latch indicates a stuck at fault condition when the plurality of ring oscillators are disabled by the enable circuit and at least one of the plurality of ring oscillators is active.
Inventor(s): Brent William YARDLEY of Hillsboro OR (US) for international business machines corporation, Adrian Philip GLOVER of Katy TX (US) for international business machines corporation, Shahar MUALEM-YOSI of Tel-Aviv (IL) for international business machines corporation, Karl STATHAKIS of Owatonna MN (US) for international business machines corporation, Leif Erik LAERUM of Katy TX (US) for international business machines corporation, Kunjan DEDHIA of RICHMOND TX (US) for international business machines corporation, Tom LIEBSCH of Arlington SD (US) for international business machines corporation
IPC Code(s): G01R31/319, G01R31/3177
CPC Code(s): G01R31/31907
Abstract: provided are a storage testing device, system, and method for testing a storage system. a storage testing device fits into a slot of a storage system including a controller. the storage testing device includes a resistor load bank to generate a thermal load during operation when the storage testing device is positioned in the slot. the generated thermal load is transferred to the slot. at least one sensor generates a measurement of the thermal load to provide to the controller.
Inventor(s): Benchik Bayor of Far Rockaway NY (US) for international business machines corporation, Kevin W. Brew of Niskayuna NY (US) for international business machines corporation, Clint Jason Oteri of East Greenbush NY (US) for international business machines corporation
IPC Code(s): G02F1/133, G06T7/20, G06V20/58
CPC Code(s): G02F1/13318
Abstract: a method, computer program product, and computer system are provided for selective light dimming through a transparent surface. an orientation of a user is monitored through one or more haptic and visual sensors. data from a camera system corresponding to a direction and an intensity of an incoming visual source, such as a light source or visual image impingement on the user, is received. one or more light-dimming panels are identified from among a plurality of light-dimming panels to activate based on the direction and the intensity of the incoming visual source, the orientation of the user, and a user profile. an amount of light enabled to pass through the one or more identified light-dimming panels is adjusted. a transparent display between the user and the light-dimming panels is configured to augment dimmed portions of the display.
Inventor(s): Israel A. WAGNER of Zichron Yaakov (IL) for international business machines corporation, Hezi SHALOM of Tel Aviv (IL) for international business machines corporation, Noam JUNGMANN of Holon (IL) for international business machines corporation, Elazar KACHIR of Haifa (IL) for international business machines corporation, Tomer Abraham COHEN of Binyamina (IL) for international business machines corporation
IPC Code(s): G06F1/08
CPC Code(s): G06F1/08
Abstract: a clock gating method and circuit for avoiding out-of-spec clock operations. the circuit comprises a clock gating section that gates a clock signal according to an enabling signal generated by an enabling signal controller, the enabling signal controller generating the enabling signal according to a set signal and a reset signal. the circuit further comprises a set signal generator that generates the set signal, a reset signal generator that generates the reset signal, and a feedback section that uses the enabling signal to generate the feedback signal for the reset signal generator. the reset signal generator generates the reset signal by using the feedback signal. the enabling signal controller further generates an acknowledgement signal having a high signal during a blocking period when the clock signal is blocked and utilizes the acknowledgement signal as an announcement to a higher circuit that the clock signal is blocked.
Inventor(s): DAVID CHARLES OLSON of LAGRANGEVILLE NY (US) for international business machines corporation, MICHAEL F. SCANLON of POUGHKEEPSIE NY (US) for international business machines corporation, ROBERT R. GENEST of POUGHKEEPSIE NY (US) for international business machines corporation
IPC Code(s): G06F1/18
CPC Code(s): G06F1/186
Abstract: providing optimized housing and serviceability of removable computer system components. in an embodiment a computing system includes a chassis, the chassis including a bay having a hinged cover; a primary circuit board secured to the chassis, the primary circuit board including a plurality of expansion slots accessible through the bay of the chassis; a plurality of expansion components removably coupled to the primary circuit board via the plurality of expansion slots, wherein each expansion component includes: an expansion card configured for mating with one of the expansion slots; and a carrier removably attached to the expansion card such the carrier provides a grip for inserting and extracting the expansion card; and a plurality of component guides within the bay, wherein each component guide is configured to guide mating of each expansion card with a corresponding expansion slot.
Inventor(s): Dinesh C. VERMA of New Castle NY (US) for international business machines corporation, MUDHAKAR SRIVATSA of White Plains NY (US) for international business machines corporation, Gerald COON of Durham NC (US) for international business machines corporation, Utpal MANGLA of Toronto (CA) for international business machines corporation, SATISHKUMAR SADAGOPAN of Leawood KS (US) for international business machines corporation, Mathews Thomas of Flower Mound TX (US) for international business machines corporation
IPC Code(s): G06F3/00, G06F3/14, G06V30/224
CPC Code(s): G06F3/005
Abstract: a first computational device with a first visual display and a second computational device with a second visual display are maintained, wherein the first computational device is configured to read information displayed on the second visual display, and wherein the second computational device is configured to read information displayed on the first visual display. byte streams are exchanged bidirectionally between the first computational device and the second computational device via the information displayed on the first visual display and the information displayed on the second visual display, wherein active radio transmission between the first computational device and the second computational device is avoided.
Inventor(s): Chun Hong Zheng of Beijing (CN) for international business machines corporation, Qun Q Zhang of Shanghai (CN) for international business machines corporation, Xiao Feng Ji of Shanghai (CN) for international business machines corporation
IPC Code(s): G06F3/04847, G06N3/045, G06N3/0475, G06N3/094
CPC Code(s): G06F3/04847
Abstract: an execution-step sequence for a first graphical user interface can be determined. a second graphical user interface can include: first panel in which the first graphical user interface is presented; a second panel including a first user selectable component via which a user navigates forward in the execution-step sequence for the first graphical user interface and a second user selectable component via which the user navigates backward in the execution-step sequence for the first graphical user interface; and a third panel configured to represent steps of the execution-step sequence that are executed. responsive to the user selecting the first user selectable component, an execution-step in the execution-step sequence can be executed, a result of the executing the execution-step can be depicted by redrawing the first graphical user interface, and component status data indicating the execution-step in the execution-step sequence that was executed can be added to the third panel.
Inventor(s): Jenny L. Brown of Houston TX (US) for international business machines corporation, James Kesley Richardson of Houston TX (US) for international business machines corporation, Nehal Shah of Richmond TX (US) for international business machines corporation, Aaron Daniel Fry of Richmond TX (US) for international business machines corporation
IPC Code(s): G06F3/06
CPC Code(s): G06F3/0604
Abstract: in one general embodiment, a computer-implemented method includes receiving specification of an amount of drive space in a solid state drive (ssd) to emulate, the specified amount being less than all of the drive space of the ssd. the ssd is formatted such that only a number of blocks that provides the specified amount of drive space are made available, and the other blocks are skipped. the available blocks are distributed substantially evenly across planes of the ssd. a presented amount of drive space of the ssd corresponds to the specified amount of drive space. parameters of the ssd that are dependent upon capacity are scaled based on the specified amount of drive space relative to an actual amount of drive space of the ssd.
Inventor(s): Timothy J. Fisher of Cypress TX (US) for international business machines corporation, Razik Shihan Ahmed of Houston TX (US) for international business machines corporation, Jiming Dai of Houston TX (US) for international business machines corporation, James Kesley Richardson of Houston TX (US) for international business machines corporation
IPC Code(s): G06F3/06
CPC Code(s): G06F3/0619
Abstract: in one general embodiment, a method includes storing a list of states for testing the effects of power loss by a solid state drive. selection of one or more of the states is received. the solid state drive is instructed to generate an interrupt upon detecting the one or more of the selected states. the interrupt triggers a power loss to the solid state drive. the solid state drive is caused to perform a workload. in another general embodiment, a method includes receiving, by a solid state drive, instructions to generate an interrupt upon detecting a specified state of the solid state drive during processing of a workload. the workload is processed. the specified state is detected by the solid state drive while processing the workload. the interrupt is generated in response to detecting the specified state. the interrupt triggers a power loss to the solid state drive.
Inventor(s): Karthik Iyer of Bangalore (IN) for international business machines corporation, Frank Schmuck of Campbell CA (US) for international business machines corporation
IPC Code(s): G06F3/06
CPC Code(s): G06F3/0619
Abstract: methods that utilize a shadow map to identify bad free bits and duplicate references in a file system are disclosed herein. one method includes a processor generating a shadow map of a file system and utilizing the shadow map to identify bad free bits in a block allocation map of the file system and/or utilizing the shadow map to identify duplicate references in the file system. also disclosed herein are apparatus, systems, and computer program products that can include, perform, and/or implement the methods for utilizing a shadow map to identify bad free bits and/or duplicate references in a file system.
Inventor(s): Andrew C. M. HICKS of Highland NY (US) for international business machines corporation, Stephanie Carys SHUM of Wappingers Falls NY (US) for international business machines corporation, Anthony Gennaro MANGIACAPRA of Vestal NY (US) for international business machines corporation, Marcos ARAQUE FIALLOS of Elmwood Park IL (US) for international business machines corporation, Daniel Nicolas GISOLFI of Hopewell Junction NY (US) for international business machines corporation
IPC Code(s): G06F5/01, G06F18/2323
CPC Code(s): G06F5/01
Abstract: a method for encoding 2d numerical data comprises determining encoding parameters for a received set of 2d numerical data and generating a set of encoded data from the set of 2d numerical data according to the encoding parameters. the encoding parameters indicate a transitional relationship among a plurality of consecutive data points and a unitization interval for sampling the first set of 2d numerical data. when generating the set of encoded data, the encoding method sets a starting point, samples the set of 2d numerical data according to the unitization interval, and determines a string as a value of each data point of the set of the encoded data. the string indicates a position of a present encoded data point in the set of the encoded data, the transitional relationship, and a difference of magnitude between a present encoded data point and an immediately preceding one.
Inventor(s): Andrea Cabrera Galindo of Tlalnepantla de Baz (MX) for international business machines corporation, Catalina Albornoz Anzola of Toronto (CA) for international business machines corporation, Ana Vialeny Mota Gómez of Cuernavaca (MX) for international business machines corporation, Mohamed Zouhaier Ramadhane of Azcapotzalco (MX) for international business machines corporation
IPC Code(s): G06F8/36, G06F8/71
CPC Code(s): G06F8/36
Abstract: a first function of a first microservice and a second function of a second microservice are derived from data of an application using a plurality of microservices. from the first function and the second function, an embodiment determines that the first microservice and the second microservice have above a threshold similarity with each other. an embodiment determines a set of differences between the first microservice and the second microservice. new source code of the application is generated, the new source code utilizing the first microservice instead of the second microservice, the first microservice selected using the set of differences.
Inventor(s): Zhong Fang Yuan of Xi'an (CN) for international business machines corporation, Tong Liu of Xi'an (CN) for international business machines corporation, Han Qiao Yu of Shaanxi Province (CN) for international business machines corporation, Lin Feng of Xi'an (CN) for international business machines corporation, Xiang Yu Yang of Xi'an (CN) for international business machines corporation, Hai Bo Zou of Beijing (CN) for international business machines corporation
IPC Code(s): G06F8/41, G06F8/71, G06N20/00
CPC Code(s): G06F8/427
Abstract: a given segment of computer code is obtained and modified to produce one or more inefficient versions of the given segment of computer code in comparison to the given segment of computer code. a code parse tree is generated for the given segment of computer code and each inefficient version of the given segment of computer code. model embeddings are generated based on the generated code parse trees and a diffusion model is trained based on the generated model embeddings.
Inventor(s): Bangtian LIU of Toronto (CA) for international business machines corporation, Avery LAIRD of Toronto (CA) for international business machines corporation, Wai Hung TSANG of Markham (CA) for international business machines corporation, Bardia MAHJOUR of Newmarket (CA) for international business machines corporation, Maryam DEHNAVI of Toronto (CA) for international business machines corporation
IPC Code(s): G06F8/41
CPC Code(s): G06F8/452
Abstract: vectorization of program code by way of a method that includes obtaining program code to be compiled. the program code has a loop that includes a control-flow having divergent branch conditions. the method includes compiling the program code to produce compiled code. the compiling includes performing compile-time analysis of the loop based on an assumption of dynamic uniformity, and determining from the analysis a vectorizable access pattern of the loop. the compiling also includes vectorizing the loop as part of the compiling the program code, including compiling the loop. the vectorizing includes providing run-time checks in the compiled code. the run-time checks are configured for checking for dynamically uniform conditions for vector processing at run-time to control program execution flow based on a result of the checking. the method also includes outputting the compiled code for execution.
Inventor(s): Rui LIU of Beijing (CN) for international business machines corporation, Ying MO of Beijing (CN) for international business machines corporation, Yue CHEN of Beijing (CN) for international business machines corporation, Ya XIAO of Beijing (CN) for international business machines corporation, Hu WANG of Beijing (CN) for international business machines corporation
IPC Code(s): G06F8/61, G06F8/65, G06F9/445
CPC Code(s): G06F8/63
Abstract: a container image is deployed, at runtime, on a node within a computing environment. the deploying includes downloading, at runtime, container image content from multiple sites. the downloading includes obtaining a core image of the container image from one or more image registries and updating a local image store with the core image, and obtaining one or more add-ons of the container image from one or more add-on registries and updating a local add-on store with the one or more add-ons. the deployed container image is executed on the node.
Inventor(s): Paul BARRY of Douglas (IE) for international business machines corporation, Ryan Thomas CLAUSSEN of Rochester MN (US) for international business machines corporation, Vinh Tuan THAI of Markham (CA) for international business machines corporation, Dana L. PRICE of Surf City NC (US) for international business machines corporation
IPC Code(s): G06F8/65, G06F8/76
CPC Code(s): G06F8/65
Abstract: a method, system, and computer program product are configured to: identify versions of a jar file used by applications in a system; generate a ranked list of the versions of the jar file including a highest ranked version; determine a first subset of the applications that use the highest ranked version; determine a second subset of the applications that use a version other than the highest ranked version; for each respective one of the applications in the second subset, identify a respective upgraded version of the jar file to use with the respective one of the applications based on comparing methods required by the respective one of the applications to sets of methods included in respective ones of the versions of the jar file; and generate a list including the respective upgraded version of the jar file identified for each respective one of the applications in the second subset.
Inventor(s): Jin Wang of Xian (CN) for international business machines corporation, A Peng Zhang of Xian (CN) for international business machines corporation, Lei Gao of Xian (CN) for international business machines corporation, Xian Wu of Xian (CN) for international business machines corporation, Xiang Zhen Gan of Xian (CN) for international business machines corporation, Ke Du of Xian (CN) for international business machines corporation
IPC Code(s): G06F9/451, G06F3/0482
CPC Code(s): G06F9/451
Abstract: techniques are described with regard to user interface configuration in a computing environment. an associated computer-implemented method includes initializing an element layout within a set of user interface layers for a certain user based upon random determination, wherein the element layout includes a plurality of elements on which the certain user operates. responsive to determining that a predefined user history data threshold is exceeded, the method further includes deriving weight metrics for the plurality of elements in association with each of the set of user interface layers based upon user history data, applying at least one layout mode to respective elements among the plurality of elements associated with each of the set of user interface layers based upon the derived weight metrics, and updating the element layout within each of the set of user interface layers for the certain user consequent to applying the at least one layout mode.
Inventor(s): Eun Kyung LEE of Bedford Corners NY (US) for international business machines corporation, Ramachandra Rao Kolluri of Cranbourne East (AU) for international business machines corporation
IPC Code(s): G06F9/48, G06F9/50, G06N20/00
CPC Code(s): G06F9/4893
Abstract: provided is a method, system, and computer program product for using machine learning to allocate resources to workloads at run time in an optimized manner to minimize resource consumption. a processor may generate training data from a retrospective analysis of historical resource management data associated with a computing system. the processor may train a machine learning model to optimize resource management of the computing system at run time using the training data. the processor may obtain optimization recommendations for a current state of the computing system from the machine learning model. the processor may implement the optimization recommendations to manage the current state of the computing system.
Inventor(s): Michihiro Horie of Ageo City (JP) for international business machines corporation, Kazunori Ogata of Soka-shi (JP) for international business machines corporation
IPC Code(s): G06F9/50
CPC Code(s): G06F9/5022
Abstract: a computer implemented method manages a memory. a number of processor units determines a creation of an object in a program. the number of processor units determines a set of uses of the object in the program. the number of processor units add an allocation program code to allocate memory to the object in an off heap region in memory in response to the object not being within a call chain and not being assigned to a global variable. the number of processor units add a deallocation program code to deallocate the memory after each possible last use in a set of possible last uses of the object in the uses of the object in the program in response to the object not being within the call chain and not being assigned to the global variable. additionally, a computer system and a computer program product for managing memory are provided.
20240330065. EDGE DATA PROCESSING_simplified_abstract_(international business machines corporation)
Inventor(s): Charan ACHARYA CHANDRASHEKAR of Bangalore (IN) for international business machines corporation, Sudhakar T. SESHAGIRI of Bangalore (IN) for international business machines corporation, Shwetha GOPALAKRISHNA of Bangalore (IN) for international business machines corporation, Prasanna Alur MATHADA of Bangalore (IN) for international business machines corporation
IPC Code(s): G06F9/50, B64U10/00, H04B7/185, H04L67/12
CPC Code(s): G06F9/505
Abstract: methods, computer program products, and systems are presented. the method computer program products, and systems can include, for instance: examining, by an orchestrator, logging data received from a plurality of mobile multi-access computing unmanned aerial vehicles, wherein each mobile multi-access unmanned aerial vehicle of the plurality of mobile multi-access unmanned aerial vehicles is capable of being flown between a base location in connection range of the orchestrator and at least one computer environment location of a set of iot computer environment locations, wherein respective computer environment locations of the set of computer environment locations are associated respectively to different iot edge computer environments defining a set of iot edge computer environments; and scheduling, in dependence on the examining, a data upload and processing session in which a mobile multi-access computing unmanned aerial vehicle of the plurality of mobile multi-access computing unmanned aerial vehicles receives and processes iot sensor data from an iot edge computer environment of the set of iot edge computer environments.
Inventor(s): Brian Keith WADE of Apalachin NY (US) for international business machines corporation
IPC Code(s): G06F9/50
CPC Code(s): G06F9/5077
Abstract: embodiments of the disclosure provide systems and methods for automatically tuning logical partition weights for logical partitions. a disclosed non-limiting system obtains observations of configuration and performance parameters for each of a plurality of logical partitions. for each of the plurality of logical partitions, tentative new weights are determined based on the configuration and performance parameters for each of a plurality of logical partitions. the tentative new weights are iteratively adjusted by a set weight increase and the set weight increase is subtracted from a weight points left variable until the weight points left variable reaches a threshold.
Inventor(s): Larisa SHWARTZ of Greenwich CT (US) for international business machines corporation, Saurabh JHA of White Plains NY (US) for international business machines corporation, Jesus Maria RIOS ALIAGA of Philadelphia PA (US) for international business machines corporation, Eitan Daniel FARCHI of Pardes Hanna-Karkur (IL) for international business machines corporation, Frank BAGEHORN of Dottikon (CH) for international business machines corporation, Robert FILEPP of Westport CT (US) for international business machines corporation
IPC Code(s): G06F11/07
CPC Code(s): G06F11/0775
Abstract: a method, system, and computer program product for estimating propagation time for an injected fault are configured to: determine normal execution times of respective services in a call graph of an application; determine normal execution times of respective network communications between ones of the services; determine faulty execution times of respective ones of the services; and generate a propagation time for a particular type of fault injected at a particular fault injection location in the call graph based on the determined normal execution times of respective services, the determined normal execution times of respective network communications, and the determined faulty execution times of respective ones of the services.
Inventor(s): Saurabh Jha of White Plains NY (US) for international business machines corporation, Larisa Shwartz of Greenwich CT (US) for international business machines corporation, Robert Filepp of Westport CT (US) for international business machines corporation, Frank Bagehorn of Dottikon (CH) for international business machines corporation, Jesus Maria Rios Aliaga of Philadelphia PA (US) for international business machines corporation
IPC Code(s): G06F11/07, G06F11/30
CPC Code(s): G06F11/079
Abstract: mechanisms are provided that detect an anomaly in performance of a hybrid application based on a specification of required performance and collected passive monitoring data, and that generate a causal generative model based on relationships between hybrid application components and computing system architecture components extracted from the passive monitoring data. root cause identification (rci) logic is executed on the causal generative model to identify a set of candidate root causes of the detected anomaly. one or more probes are identified for active monitoring data collection targeting the identified set of candidate root causes, which are then executed to collect probe data. reinforcement learning is performed of the rci logic to update the rci logic based on the probe data. the set of candidate root causes is updated based on the reinforcement learning.
Inventor(s): Brent William YARDLEY of Hillsboro OR (US) for international business machines corporation, Adrian Philip GLOVER of Katy TX (US) for international business machines corporation, Shahar MUALEM-YOSI of TEL AVIV (IL) for international business machines corporation, Karl STATHAKIS of Owatonna MN (US) for international business machines corporation, Leif Erik LAERUM of Katy TX (US) for international business machines corporation, Kunjan DEDHIA of RICHMOND TX (US) for international business machines corporation, Tom LIEBSCH of Arlington SD (US) for international business machines corporation
IPC Code(s): G06F11/263, G06F11/07
CPC Code(s): G06F11/263
Abstract: provided are a computer program product, system, and method for testing a storage system with storage testing devices. a command is transmitted to a storage testing device in a slot of the storage system to adjust output of a resistor load bank in the storage testing device to modify a thermal load produced on the resistor load bank in the storage testing device. measurements are received of the thermal load from at least one sensor of the storage testing device.
Inventor(s): Jin Jin YANG of Beijing (CN) for international business machines corporation, Chun Li JIA of Beijing (CN) for international business machines corporation, Xiao Ling CHEN of Beijing (CN) for international business machines corporation, Qian Xia SONG of Beijing (CN) for international business machines corporation, Ai Ping FENG of Beijing (CN) for international business machines corporation, Kui ZHANG of Tianjin (CN) for international business machines corporation
IPC Code(s): G06F11/36, G06F11/32, G06F11/34
CPC Code(s): G06F11/3636
Abstract: a method, system, and computer program product are configured to: create a link tracing data structure in response to receiving a request from a user interface (ui), wherein the link tracing data structure includes a synchronization identifier and information about user actions in the ui; handle the request by calling plural microservices; add respective synchronization content for each one of the plural microservices to the link tracing data structure, wherein the respective synchronization content for a respective one of the plural microservices comprises: the synchronization identifier; a respective step identifier that identifies the respective one of the plural microservices; and a respective synchronization message that describes an execution status of the respective one of the plural microservices; store the link tracing data structure; and provide the link tracing data structure to a requesting user.
Inventor(s): Zachary A. Silverstein of Georgetown TX (US) for international business machines corporation, Logan Bailey of Atlanta GA (US) for international business machines corporation, Suman Patra of Kolkata (IN) for international business machines corporation, Jeremy R. Fox of Georgetown TX (US) for international business machines corporation
IPC Code(s): G06F11/36
CPC Code(s): G06F11/3672
Abstract: in an approach for generating a test case from a conversational context between two or more users and storing the test case as a repeatable and deployable robotic process automation bot, a processor monitors an online communication between a first user and a second user using a natural language processing method. responsive to determining the second user has provided an affirmative response to a request to test a system, a processor outputs a payload to the second user, wherein the payload contains one or more test cases. subsequent to a n number of iterations of the second user and one or more additional users testing the system, a processor builds a convolutional neural network model to predict when the first test case is successful. responsive to finding a flag of success, a processor stores the first test case as a repeatable and deployable robotic process automation bot.
Inventor(s): Dale E. BLUE of Poughkeepsie NY (US) for international business machines corporation, Andrew C. M. HICKS of Highland NY (US) for international business machines corporation, Ryan Thomas RAWLINS of New Paltz NY (US) for international business machines corporation, Eitan Daniel FARCHI of Pardes-Hana (IL) for international business machines corporation
IPC Code(s): G06F11/36
CPC Code(s): G06F11/3684
Abstract: techniques for testing and fault detection are disclosed. these techniques include generating a set of test cases for a system under test (sut), the set of test cases based on attribute-value pairs modeled as input to the sut. the techniques further include augmenting the set of test cases. this includes locating a missing counterpart for a first combination of values in a first test case in the set of test cases, based on identifying a number of instances of the first combination of values in the set of test cases, generating a new test case based on modifying the first test case to act as the missing counterpart, and adding the new test case to the set of test cases. the techniques further include identifying a fault for the sut based on executing the augmented set of test cases.
Inventor(s): ANDREW C.M. HICKS of HIGHLAND NY (US) for international business machines corporation, MICHAEL TERRENCE COHOON of FISHKILL NY (US) for international business machines corporation, DANIEL NICOLAS GISOLFI of HOPEWELL JUNCTION NY (US) for international business machines corporation, RYAN THOMAS RAWLINS of NEW PALTZ NY (US) for international business machines corporation
IPC Code(s): G06F11/36, G06F40/20
CPC Code(s): G06F11/3692
Abstract: generating referential artificial intelligence functionality for intuitively tagging infrastructure may include: generating, automatically, a set of tags based on a collection of test cases; tagging a test case with one or more automatically generated tags from the set of tags; running the test case on a system-under-test (sut); determining that a result of the testing identifies a fault related to a first tag of the one or more automatically generated tags of the test case; and validating an association between the first tag and the test case in response to identifying that the fault is related to the first tag.
Inventor(s): Radu Ioan STOICA of Zurich (CH) for international business machines corporation, Dan LAZAR of Houston TX (US) for international business machines corporation, Timothy J. FISHER of Cypress TX (US) for international business machines corporation, Nikolaos PAPANDREOU of Thalwil (CH) for international business machines corporation, Roman Alexander PLETKA of Uster (CH) for international business machines corporation, Charalampos POZIDIS of Thalwil (CH) for international business machines corporation, Aaron Daniel FRY of Richmond TX (US) for international business machines corporation, Andrew D. WALLS of SAN JOSE CA (US) for international business machines corporation
IPC Code(s): G06F12/02, G06F12/0802
CPC Code(s): G06F12/0246
Abstract: a controller of the solid-state drive (ssd) maintains a logical-to-physical translation layer, wherein metadata for the logical-to-physical translation layer is stored in metadata pages in a flash memory of the ssd. the controller tracks a write heat of the metadata pages. the controller stores relatively more frequently accessed metadata pages in a non-durable cache of the ssd. the controller prioritized metadata write operations based on write heat of the metadata pages, such that a nand flash block of the flash memory contains metadata pages with a similar write heat, wherein extents with similar write heats are grouped together into a stripe that stores extent data, and wherein write heats of the extents with the similar write heats do not differ from each other beyond a predetermined threshold.
Inventor(s): Christopher Neil Bailey of Romsey (GB) for international business machines corporation, Matthew Paul Wilson of Eastleigh (GB) for international business machines corporation, IAN PARTRIDGE of Eastleigh (GB) for international business machines corporation, Sandra Hayward of Eastleigh (GB) for international business machines corporation, David Richard Jones of Eastleigh (GB) for international business machines corporation
IPC Code(s): G06F12/0862
CPC Code(s): G06F12/0862
Abstract: prefetch of microservices for incoming requests. the method determines for an incoming request a service level objective (slo) requirement for latency of a request type of the incoming request. the method generates a set of possible microservice sequences for the request including a probability of occurrence of each of the possible microservice sequences and determines a set of prefetch permutations for the set of possible microservice sequences. a latency score is calculated for each prefetch permutation and any prefetch permutations that do not meet the slo requirement for latency of the request type are eliminated. an optimal prefetch permutation of the remaining prefetch permutations is selected by considering a total cost of the prefetch permutation based on a cost of running each microservice in the set of sequences.
Inventor(s): Shourav De of Navi Mumbai (IN) for international business machines corporation, Vishal Singha Roy of Hyderabad (IN) for international business machines corporation, Shashidhar Bomma of Hyderabad (IN) for international business machines corporation, Subhash Karemore of Hyderabad (IN) for international business machines corporation
IPC Code(s): G06F16/11, G06N3/084
CPC Code(s): G06F16/113
Abstract: a computer-implemented method of data archiving is provided. the computer-implemented method includes predicting when an outage condition of a computing system is likely to occur, taking over control of data archiving from a database management unit of the computing system and archiving data prior to the outage condition taking effect and returning control of the data archiving to the database management unit following termination of the outage condition.
Inventor(s): Michael Robert Glass of Bayonne NJ (US) for international business machines corporation, Gaetano Rossiello of Brooklyn NY (US) for international business machines corporation, Alfio Massimiliano Gliozzo of Brooklyn NY (US) for international business machines corporation, Ankita Rajaram Naik of New York NY (US) for international business machines corporation, Xueqing Wu of Champaign IL (US) for international business machines corporation
IPC Code(s): G06F16/22, G06F16/2457, G06F16/25
CPC Code(s): G06F16/2282
Abstract: embodiments of the invention are directed to a computer system comprising a memory communicatively coupled to a processor system. the processor system is operable to perform processor system operations that include accessing query information associated with a to-be-augmented information set (tbais) having a tbais format. query information sequence vectors (qisv) are generated that represent the query information and the tbais. unannotated data repository information sequence vectors (udrsv) are accessed that represent unannotated data repository information having a plurality of information formats. matching udrsv are identified, where the matching udrsv include the udrsv that match the qisv. a response to the query information is generated based at least in part on the matching udrsv.
Inventor(s): Jeffrey Owen Kephart of Cortlandt Manor NY (US) for international business machines corporation
IPC Code(s): G06F16/2453, G06F16/2455, G06F16/248
CPC Code(s): G06F16/24542
Abstract: computer-implemented methods for a system for storing and retrieving queries by content. aspects include receiving data associated with a search query. aspects further include generating a query table by executing a metaquery using the data on query metadata attributes of existing search queries. the query table can include information for a group of search queries of the existing search queries. aspects also include generating search results by executing a selected query chosen from the query table and displaying the search results from the execution of the selected query.
Inventor(s): Harsha Kokel of Milpitas CA (US) for international business machines corporation, Junkyu Lee of San Diego CA (US) for international business machines corporation, Michael Katz of Goldens Bridge NY (US) for international business machines corporation, Shirin Sohrabi Araghi of Briarcliff Manor NY (US) for international business machines corporation, Kavitha Srinivas of Port Chester NY (US) for international business machines corporation
IPC Code(s): G06F16/2455, G06F16/22
CPC Code(s): G06F16/2456
Abstract: automated improved computer mechanisms are provided for improving the way in which a lifted successor generation (lsg) solution to an artificial intelligence (ai) planning problem is processed. an artificial intelligence (ai) planning problem is received that includes definitions for a plurality of operators. an initial label set, which defines an initial version of an action space, is created, with each label corresponding to an operator. a label reduction is performed on the label set to obtain a reduced label set (seed set) that defines a reduced action space. the ai planning problem is represented as a lsg problem comprising a set of tables and a join query. a lsg module is executed on the lsg problem using the seed set to process the join query and generate applicable action(s) as a solution to the ai planning problem which are then output for further ai operations.
Inventor(s): Uwe Karl Hansmann of Tuebingen (DE) for international business machines corporation, Timo Kussmaul of Boeblingen (DE) for international business machines corporation
IPC Code(s): G06F16/2457, G06F16/22
CPC Code(s): G06F16/24575
Abstract: an adaptive workload placement and service request routing while ensuring that information relating to a current system state remains confidential. a search index representing a current system state and context is built and a set of service instances is received. the set of service instances are then associated with a set of search queries that are run against the search index, with the running of the set of search queries against the search index producing a set of scored search results. each scored search result is associated with a service instance. the service instance associated with the highest scored search result is selected, and a service request is routed to the selected service instance.
Inventor(s): Ariel FARKASH of Shimshit (IL) for international business machines corporation, Micha Gideon MOFFIE of Zichron Yaakov (IL) for international business machines corporation
IPC Code(s): G06F16/28, G06F16/22
CPC Code(s): G06F16/285
Abstract: an example system includes a processor to automatically generate a regular expression automaton matching a textual pattern of a received format. the regular expression automaton is a superset of the format. the processor can automatically generate a multi-dimensional filter to be applied to input data based on the generated regular expression automaton.
Inventor(s): Siddhartha SOOD of Ghaziabad (IN) for international business machines corporation, Shweta VOHRA of Bangalore (IN) for international business machines corporation, Madhusmita PATIL of Hyderabad (IN) for international business machines corporation, Harish BHARTI of Pune (IN) for international business machines corporation, Balakrishnan SREENIVASAN of Jayanagar (IN) for international business machines corporation
IPC Code(s): G06F16/28, G06F8/71
CPC Code(s): G06F16/288
Abstract: leveraging production deployments to accelerate inflight deployments in a computing environment. a component is extracted, which is identified in the production deployment. the identified, extracted component is analyzed to derive a set of data describing the identified, extracted component. a relationship between the data is built. the relationship is used to develop an enterprise-wide methodology that is utilized to accelerate development of an additional, inflight deployment by comparing the additional, inflight deployment against the developed methodology.
Inventor(s): Yuan YUAN of Beijing (CN) for international business machines corporation, Xing WEN of Beijing (CN) for international business machines corporation, Xiao Zhen ZHU of Beijing (CN) for international business machines corporation, Xiao Ming LIU of Beijing (CN) for international business machines corporation, Shao Fei LI of Beijing (CN) for international business machines corporation, Ming DONG of Beijing (CN) for international business machines corporation, Shou Hua WANG of Beijing (CN) for international business machines corporation
IPC Code(s): G06F16/31
CPC Code(s): G06F16/322
Abstract: embodiments of the present disclosure provide systems and methods for transforming a text file with an existing syntax format to a syntax tree structure with a syntax convention extension based on defined field types and field characteristics. embodiments of the present disclosure transform existing syntax knowledge to an extended convention syntax knowledge, creating the syntax tree structure with the syntax convention extension, to provide automated support for different applications and programs, and enabling programmatic querying, override and other use functions.
Inventor(s): Sanket Jain of GURGAON (IN) for international business machines corporation, Sukumar Beri of Noida (IN) for international business machines corporation, Prosenjit Dan of Kolkata (IN) for international business machines corporation, Jatinder S. Joshi of GURGAON (IN) for international business machines corporation, Pinaki Chattopadhyay of Bangalore (IN) for international business machines corporation
IPC Code(s): G06F16/332, G06F40/35, G06F40/56
CPC Code(s): G06F16/3329
Abstract: methods, systems, and computer program products for automatically modifying communication content using artificial intelligence techniques are provided herein. a computer-implemented method includes identifying one or more portions of communication content within a group communication session to be modified by processing the communication content and one or more items of contextual information associated with the group communication session; generating at least one item of modified communication content related to at least a portion of the one or more identified portions of communication content by processing the one or more identified portions of communication content using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the at least one item of modified communication content.
Inventor(s): Yishai SHIMONI of Tel Aviv (IL) for international business machines corporation, Liran SZLAK of Shoham (IL) for international business machines corporation, Lucile TER-MINASSIAN of Yafo (IL) for international business machines corporation, Ehud KARAVANI of Tel Aviv (IL) for international business machines corporation, Yoav KAN-TOR of Tel Aviv (IL) for international business machines corporation
IPC Code(s): G06F17/18
CPC Code(s): G06F17/18
Abstract: in one aspect of the invention, there is a computer-implemented method including: determining, by a processor set, for each of a plurality of covariates in subject data on a plurality of subjects, a statistical bias measure; selecting, by a processor set, one of the covariates based on the statistical bias measure; dividing, by a processor set, the subjects into two or more groups, based on the selected covariate, such that each of the groups has an enhanced uniformity in a probability of being assigned a same treatment in a hypothetical randomized controlled trial; recursively repeating, by the processor set, for each respective group of the groups, the applying a division of the subjects into two or more groups, until reaching a selected stopping criterion for the respective group; and deriving, by the processor set, observational results of one or more input factors of one or more of the groups.
Inventor(s): Abigail GOLDSTEEN of Haifa (IL) for international business machines corporation, Ariel FARKASH of Shimshit (IL) for international business machines corporation, Shlomit SHACHOR IFERGAN of Haifa (IL) for international business machines corporation, Natalia RAZINKOV of Haifa (IL) for international business machines corporation, Maya ANDERSON of Netanya (IL) for international business machines corporation, Ron SHMELKIN of Givatayim (IL) for international business machines corporation
IPC Code(s): G06F21/55
CPC Code(s): G06F21/552
Abstract: according to one embodiment, a method, computer system, and computer program product for assessing privacy risk is provided. the embodiment may include identifying a data set and a machine learning model. the embodiment may also include selecting a target feature set comprising one or more target features of the data set. the embodiment may further include conducting one or more differential inference attacks on the machine learning model based on the target feature set. the embodiment may also include determining a privacy risk score for the target feature set based on results of the one or more differential inference attacks.
Inventor(s): MICHAEL PAGE KASPER of POUGHKEEPSIE NY (US) for international business machines corporation, ERIC ROSENFELD of PLEASANT VALLEY NY (US) for international business machines corporation, BRYAN CHILDS of POUGHKEEPSIE NY (US) for international business machines corporation, DIANE MARIE STAMBONI of POUGHKEEPSIE NY (US) for international business machines corporation, JOSHUA DAVID STEEN of FISHKILL NY (US) for international business machines corporation
IPC Code(s): G06F21/57, G06F11/36
CPC Code(s): G06F21/577
Abstract: cyber security testing with automated system message processing for input and result determination is disclosed, including issuing, by a test tool, a call to an authorized service; identifying, by the test tool, one or more system-level error messages generated after issuing the call; determining, by the test tool based on at least one first system-level error message, a missing input for the call to the authorized service; and reissuing, by the test tool, the call to the authorized service with the missing input.
Inventor(s): Lior Horesh of North Salem NY (US) for international business machines corporation, Bachir El Khadir of White Plains NY (US) for international business machines corporation, Sanjeeb Dash of Croton on Hudson NY (US) for international business machines corporation, Kenneth Lee Clarkson of Madison NJ (US) for international business machines corporation, Cristina Cornelio of White Plains NY (US) for international business machines corporation
IPC Code(s): G06F30/20
CPC Code(s): G06F30/20
Abstract: embodiments of the invention are directed to a programmable computer system having a processor system operable to perform processor system operations that include representing a set of candidate functions in a mathematical expression domain. the set of candidate functions defines relationships between data of an existing system. a set of known background theory is represented in the mathematical expression domain. the set of known background theory defines known relationships associated with the existing system. a model composition operation is performed that includes analyzing, in the mathematical expression domain, the set of candidate functions and the set of known background theory to generate a composed model that satisfies a target data fidelity in a manner that also satisfies a predetermined level of compatibility between the composed model and the set of known background theory.
Inventor(s): HEMLATA GUPTA of HOPEWELL JCT NY (US) for international business machines corporation, KERIM KALAFALA of RHINEBECK NY (US) for international business machines corporation, MANISH VERMA of BANGALORE (IN) for international business machines corporation, JENNIFER ELIZABETH BASILE of POUGHKEEPSIE NY (US) for international business machines corporation, ADIL BHANJI of WAPPINGERS FALLS NY (US) for international business machines corporation, ERIC FOREMAN of FAIRFAX VT (US) for international business machines corporation, JACK DILULLO of AUSTIN TX (US) for international business machines corporation
IPC Code(s): G06F30/3312
CPC Code(s): G06F30/3312
Abstract: timing analysis of a digital integrated circuit using intent based timing constraints includes defining a plurality of intent groups for an integrated circuit design. each intent group is associated with a different clock type of the integrated circuit design. a different timing phase of a plurality of timing phases of one or more clock signals of the integrated circuit design is associated with each intent group. one or more timing constraints is associated with each of the intent groups. a timing result is computed based on propagating the timing phases of each of the intent groups and applying the associated timing constraints from an input to a timing point of the integrated circuit design.
Inventor(s): RAJAT RAO of Bangalore (IN) for international business machines corporation, ARUN JOSEPH of BANGALORE (IN) for international business machines corporation
IPC Code(s): G06F30/3323, G06F30/333
CPC Code(s): G06F30/3323
Abstract: automatic verification of a hardware cryptographic implementation includes receiving a reference implementation of a cryptographic algorithm, receiving test case data associated with the cryptographic algorithm, generating a stimulus based upon the test case data, applying the stimulus to the reference implementation using a simulation model to generate a first intermediate state result, applying the stimulus to a hardware implementation of the cryptographic algorithm using the simulation model to generate a second intermediate state result, and generating a verification result based upon a comparison of the first intermediate state result and the second intermediate state result.
Inventor(s): GIREESH KUMAR K M of BANGALORE (IN) for international business machines corporation, NAWAZ SHARIEF MOHAMMAD of BANGALORE (IN) for international business machines corporation, GEORGE ANTONY of COCHIN (IN) for international business machines corporation, NAIJU KARIM ABDUL of BANGALORE (IN) for international business machines corporation, RAHUL M RAO of BANGALORE (IN) for international business machines corporation
IPC Code(s): G06F30/333, G06F30/3323
CPC Code(s): G06F30/333
Abstract: scan chain optimization utilizing constrained single linkage clustering is disclosed. in an embodiment, a physical design tool identifies a placement of a plurality of latches in a circuit layout; generates, based on the placement, a set of latch clusters by applying constrained single-linkage agglomerative clustering to the plurality of latches; optimizes the set of latch clusters by redistributing latches across clusters; and generates a set of scan chains corresponding to the optimized set of latch clusters.
Inventor(s): JAMES J. ENGEL of CAMBRIDGE VT (US) for international business machines corporation, JENNIFER ELIZABETH BASILE of POUGHKEEPSIE NY (US) for international business machines corporation, HEMLATA GUPTA of HOPEWELL JCT NY (US) for international business machines corporation, MICHAEL HEMSLEY WOOD of WILMINGTON DE (US) for international business machines corporation, KERIM KALAFALA of RHINEBECK NY (US) for international business machines corporation, VASANT RAO of FISHKILL NY (US) for international business machines corporation, ALEXANDER JOEL SUESS of HOPEWELL JUNCTION NY (US) for international business machines corporation
IPC Code(s): G06F30/367
CPC Code(s): G06F30/367
Abstract: timing analysis of a digital integrated circuit includes determining an initial delay value for a gate of an integrated circuit design. the gate is located within a predefined area of the integrated circuit design. a first scale factor is calculated based on a number of switching transistors within the predefined area, and a second scale factor is calculated based on a voltage drop value associated with the predefined area. an updated delay value for the gate is calculated based on the initial delay value, the first scale factor, and the second scale factor.
Inventor(s): Anita Govindjee of Ithaca NY (US) for international business machines corporation, Morgan Carroll of Austin TX (US) for international business machines corporation, Pratyush Singh of Plano TX (US) for international business machines corporation
IPC Code(s): G06F40/117, G06F3/01, G06F40/169, G06F40/30
CPC Code(s): G06F40/117
Abstract: according to one embodiment, a method, computer system, and computer program product for electronic text curation is provided. the present invention may include analyzing text of an electronic book and reader preferences; coordinating at least one preset value based on the analyzed text and the analyzed reader preferences; calculating one or more initial scores; annotating the text of the electronic book based on the analyzed text and the analyzed reader preferences; updating the one or more calculated initial scores through dynamic scoring implementation; calculating one or more final scores; and highlighting the text of the electronic book based on the one or more calculated final scores.
Inventor(s): John Anthony Reeve of Winchester (GB) for international business machines corporation, Trevor Clifford Dolby of Minneapolis MN (US) for international business machines corporation, Andrew John Coleman of Peterfield (GB) for international business machines corporation
IPC Code(s): G06F40/154, G06F16/84
CPC Code(s): G06F40/154
Abstract: generating a target schema is provided. the method comprises receiving an input schema that defines an input structure and receiving a transformation map. the transformation map and the input schema are both parsed, and a first tree for the map and a second tree for the schema are traversed in a step fashion. according to the traversal of the first tree and second tree, a target schema is generated that is valid for all possible instance documents that the transformation map would generate.
Inventor(s): John Thomas Richards of Honeoye Falls NY (US) for international business machines corporation, Thomas Hampp-Bahnmueller of Stuttgart (DE) for international business machines corporation, Michael Hind of Cortlandt Manor NY (US) for international business machines corporation, David John Piorkowski of White Plains NY (US) for international business machines corporation
IPC Code(s): G06F40/186, G06F3/0482, G06F3/0484, G06F40/106
CPC Code(s): G06F40/186
Abstract: provided are techniques for dynamic fact contextualization in support of ai model development. a template from a plurality of templates is selected, where the template includes definitions for identifying facts. the facts are retrieved from a facts repository based on the definitions. it is determined that that the facts are valid based on one or more policies. a factsheet is generated using the template and the facts. a machine learning model is used to identify one or more deficient facts from the factsheet. the factsheet is displayed in a preview with the one or more deficient facts. one or more facts corresponding to the one or more deficient facts are located. the factsheet is updated to correct the one or more deficient facts with the corresponding facts.
Inventor(s): Yang Zhao of Tokyo (JP) for international business machines corporation, Tetsuya Nasukawa of Tokyo (JP) for international business machines corporation, Masayasu Muraoka of Tokyo (JP) for international business machines corporation, Bishwaranjan Bhattacharjee of Yorktown Heights NY (US) for international business machines corporation
IPC Code(s): G06F40/20, G06F40/40
CPC Code(s): G06F40/20
Abstract: methods, systems, and computer program products for debiasing prompts in connection with artificial intelligence techniques are provided herein. a computer-implemented method includes extracting multiple utterances from at least one dialogue-related corpus; annotating each of at least a portion of the multiple extracted utterances with a sentiment polarity value; selecting at least a portion of the annotated utterances to be used in training one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the selected annotated utterances.
Inventor(s): Yotam PERLITZ of Tel Aviv (IL) for international business machines corporation, Michal SHMUELI-SCHEUER of Tel Aviv (IL) for international business machines corporation, Liat EIN-DOR of Tel Aviv (IL) for international business machines corporation, Dafna SHEINWALD of Nofit (IL) for international business machines corporation, Noam SLONIM of London (GB) for international business machines corporation
IPC Code(s): G06F40/40, G06F40/157, G06F40/30
CPC Code(s): G06F40/40
Abstract: a table-to-text (t2t) generation model provides type control and semantic diversity. a method, system, and computer program product are configured to: train a model to generate one or more logic-type-specific natural language statements based on tabular data; in response to receiving a first input comprising first input data with a user-specified logic-type, the trained model generating a first logic-type-specific natural language statement based on the first input data and the user-specified logic-type; and in response to receiving a second input comprising second input data without a user-specified logic-type, the trained model generating plural second logic-type-specific natural language statements based on the second input data, wherein respective ones of the second logic-type-specific natural language statements are generated according to respective ones of plural predefined logic-types.
Inventor(s): Siyu Huo of Yorktown Heights NY (US) for international business machines corporation, Vatche Isahagian of Cambridge MA (US) for international business machines corporation, Vinod Muthusamy of Austin TX (US) for international business machines corporation, Praveen Venkateswaran of Cambridge MA (US) for international business machines corporation, Kushal Mukherjee of Gurgaon (IN) for international business machines corporation, Jayachandu Bandlamudi of Bangalore (IN) for international business machines corporation
IPC Code(s): G06F40/40, G06F40/205, G06F40/289, G06F40/30
CPC Code(s): G06F40/40
Abstract: an example operation may include one or more of tuning a language model based on dependencies between an original data set and a paraphrase data set of the original data set, parsing and annotating the paraphrase dataset with entity identifiers of predefined entities to generate an annotated paraphrase dataset, additionally tuning the language model based on entity dependencies between the original data set and the paraphrase data set based on the annotated paraphrase dataset, and storing the additionally tuned language model in a storage device.
Inventor(s): Zachary A. Silverstein of Georgetown TX (US) for international business machines corporation, Melanie Dauber of Oceanside NY (US) for international business machines corporation, Jacob Ryan Jepperson of St. Paul MN (US) for international business machines corporation, Logan Bailey of Atlanta GA (US) for international business machines corporation, Jeremy R. Fox of Georgetown TX (US) for international business machines corporation
IPC Code(s): G06N3/042, G06F9/451, G06N3/08
CPC Code(s): G06N3/042
Abstract: systems and methods for generating workflow injection recommendations are provided. in embodiments, a method includes: training a machine learning (ml) predictive model with workflow event data received from multiple remote computing devices, thereby outputting a knowledge corpus of software recommendations to complete tasks in workflow events; identifying in real-time actions of interest within software activity data generated during a workflow event of a user based on a recommendation profile of the user; determining, from the knowledge corpus of software recommendations, one or more software recommendations for injecting one or more tasks into the workflow based on the actions of interest and the recommendation profile of the user; sending a recommendation notification to the user during the workflow event; and updating the ml predictive model based on user feedback responsive to the recommendation notification.
Inventor(s): Xiao Qin of San Jose CA (US) for international business machines corporation, Nasrullah Sheikh of San Jose CA (US) for international business machines corporation, Berthold Reinwald of San Jose CA (US) for international business machines corporation
IPC Code(s): G06N3/044
CPC Code(s): G06N3/044
Abstract: aspects include techniques for predicting system behaviors using a trained machine learning model. aspects include receiving a sequence of snapshots of dtdgs, each including a plurality of nodes and generating node embeddings and transformation weight matrices for each of the plurality of nodes using a multi-hop parameter-free message passing operation. aspects also include applying graph filters for each snapshot based on the plurality of node embeddings and a plurality of weight matrices for each of the plurality of nodes of the snapshot and concatenating the graph filters for each of the sequence of snapshots to create a final graph embedding for each snapshot. aspects further include processing, by a self-attention layer, the final graph embedding for each snapshot as a sequence, a final embedding for each node and predicting a node value for a node of a next dtdg according to the final embedding for each node.
Inventor(s): Mark Wegman of Mt. Kisco NY (US) for international business machines corporation, Yuhai Tu of Briarcliff Manor NY (US) for international business machines corporation, Xuan-Hong Dang of Chappaqua NY (US) for international business machines corporation, Ankush Singla of Hayward CA (US) for international business machines corporation, Adrian Shuai Li of West Lafayette IN (US) for international business machines corporation
IPC Code(s): G06N3/0455, G06N3/084
CPC Code(s): G06N3/0455
Abstract: a generator is configured to generate a domain-independent representation of an input data sample, an encoder is configured to generate a domain-dependent representation of the input data sample, and a decoder is configured to ensure that a combination of the domain-independent representation and the domain-dependent representation contains sufficient information to reconstruct the input data sample. a discriminator is configured to attempt to determine an originating domain of the domain-independent representation and a classifier is configured to classify the input data sample based on the domain-independent representation of the input data sample. the generator is configured to generate the domain-independent representation of the input data sample such that it fools the discriminator, enables the classifier to classify the input data sample, and enables the decoder to reconstruct the input sample from the domain-independent representation and the domain-dependent representation and wherein the domain-dependent representation is constrained to have low information content.
Inventor(s): Bhavya . of Pleasantville NY (US) for international business machines corporation, Yu Deng of Yorktown Heights NY (US) for international business machines corporation, Md Faisal Mahbub Chowdhury of Woodside NY (US) for international business machines corporation, Paulina Toro Isaza of White Plains NY (US) for international business machines corporation, Michael Elton Nidd of Zurich (CH) for international business machines corporation, Amar Prakash Azad of Bangalore (IN) for international business machines corporation, Harshit Kumar of Delhi (IN) for international business machines corporation, Larisa Shwartz of Greenwich CT (US) for international business machines corporation
IPC Code(s): G06N3/08, G06N5/022
CPC Code(s): G06N3/08
Abstract: a method, system, and computer program product that is configured to: train at least one model based on a corpus of historical data comprising annotated historical tickets; extract a textual sequence of a historical ticket based on the at least one trained model; determine a sentiment of the textual sequence of the historical ticket; and generate mitigation guidance to mitigate an issue in a current ticket based on the textual sequence of the historical ticket and the determined sentiment of the textual sequence of the historical ticket.
Inventor(s): Zhong Fang YUAN of Xi'An (CN) for international business machines corporation, Tong LIU of Xi'An (CN) for international business machines corporation, Shuang Yin LIU of Beijing (CN) for international business machines corporation, Jun WANG of Xi'An (CN) for international business machines corporation, Yan Fen LIU of Tianjin (CN) for international business machines corporation
IPC Code(s): G06N3/08, G06N3/0455
CPC Code(s): G06N3/08
Abstract: validity of a trained artificial intelligence model is verified. the verifying the validity includes generating a training dataset from the trained artificial intelligence model using reverse data generation of the trained artificial intelligence model. the training dataset generated using the reverse data generation is compared with a test dataset used to evaluate the trained artificial intelligence model. the comparing is to determine a relationship between the training dataset that was generated and the test dataset. data from the test dataset determined to have a predefined relationship with the training dataset is removed to obtain a new test dataset. the new test dataset is used to verify the validity of the trained artificial intelligence model.
Inventor(s): Itamar Zimerman of Tel-Aviv (IL) for international business machines corporation, Nir Drucker of Zichron Yaakov (IL) for international business machines corporation, Moran Baruch of Petah Tikva (IL) for international business machines corporation, Omri Soceanu of HAIFA (IL) for international business machines corporation
IPC Code(s): G06N3/082, G06N3/0464
CPC Code(s): G06N3/082
Abstract: a skip-connections analysis method, system, and computer program product for accelerating neural networks by removing skip-connections and efficient skip-connection realization.
Inventor(s): Abdul H. Quamar of Morgan Hill CA (US) for international business machines corporation, Xiao Qin of San Jose CA (US) for international business machines corporation, Berthold Reinwald of San Jose CA (US) for international business machines corporation, Venkata Vamsikrishna Meduri of Santa Clara CA (US) for international business machines corporation
IPC Code(s): G06N3/091, G06N3/045
CPC Code(s): G06N3/091
Abstract: embodiments are related to a technique for active learning for graph neural network based semantic schema alignment. the technique includes generating, by a first machine learning model executed on a processor, node embeddings having node pairs of a first schema and a second schema. the technique includes predicting, by a second machine learning model executed on the processor, a label output for the node pairs. the technique includes clustering the node pairs into a cluster output, determining that the label output and the cluster output are in a disagreement for at least one node pair of the node pairs, and in response to displaying the at least one node pair to a subject matter expert to generate a label for the at least one node pair, using the label for the at least one node pair as training data to further train the second machine learning model.
Inventor(s): Sarathkrishna Swaminathan of Santa Clara CA (US) for international business machines corporation, Tim Erdmann of San Jose CA (US) for international business machines corporation, Dmitry Zubarev of San Jose CA (US) for international business machines corporation, Subhajit Chaudhury of White Plains NY (US) for international business machines corporation, Asim Munawar of Demarest NJ (US) for international business machines corporation
IPC Code(s): G06N3/092
CPC Code(s): G06N3/092
Abstract: a reward-based reinforcement learning (rl) computing environment with an rl agent has a goal to discovery new polymers. the rl environment is integrated with a logical optimal action (loa) framework that includes a logical neural network (lnn). the rl environment and the loa framework share a user interface that switches between the loa framework and the rl environment. at the loa interface, polymer datasets are entered into the loa framework along with subject matter expert (sme)-defined rules that limit the scope of the information in the datasets. the datasets and the sme-defined rules train the lnn to develop policy rules. upon training completion, the datasets and the lnn policy rules are input into the rl environment where the rl agent makes reward-based decisions on the information in the datasets that advance the goal. at the rl interface, the sme reviews the rl agent's decisions to eliminate decisions that do not advance the goal.
Inventor(s): Takayuki Osogami of Yamato-shi (JP) for international business machines corporation, Lan Ngoc Hoang of Timperley (GB) for international business machines corporation
IPC Code(s): G06N3/092, G06N3/0455
CPC Code(s): G06N3/092
Abstract: a computer-implemented method for modifying a current policy using reinforcement learning (rl) includes the following operations. a number, corresponding to an inputted sample size, of markov decision processes (mdps) defining an environment are sampled. for each of the sampled mdps, behavior data for the current policy is collected, a quantile function of return with the current policy is determined using the collected behavior data, and a current weight is generated by updating a weight for a particular sampled mdp using the quantile function of return for the particular sampled mdp. the policy is modified based upon the weights for each of the sampled mdps. the current weights are generated by minimizing a conditional value of at risk (cvar) of a return of the current policy, and the policy is modified to maximize a weighted average of the cvar of the return with the current weights.
Inventor(s): Lior Horesh of North Salem NY (US) for international business machines corporation, Cristina Cornelio of Zürich (CH) for international business machines corporation, Bachir El Khadir of White Plains NY (US) for international business machines corporation, Sanjeeb Dash of Croton on Hudson NY (US) for international business machines corporation, Joao P. Goncalves of Wappingers Falls NY (US) for international business machines corporation, Kenneth Lee Clarkson of Madison NJ (US) for international business machines corporation
IPC Code(s): G06N5/01
CPC Code(s): G06N5/013
Abstract: a method generates automated discovery of new scientific formulas. the method includes receiving a background theory associated with a phenomenon being studied. the processor receives a set of training data associated with the phenomenon being studied. the set of training data is processed in a machine learning model that generates candidate formulas from data points in the set of training data. values of a numerical error-vector are generated for the candidate formulas. the candidate formulas are processed in a reasoning model. the operation of the reasoning model includes generating values of a theoretical error-vector based on the background theory. an output of a performance metric is generated based on a generalization of the theoretical error-vector and a reasoning error. the processor determines whether one of the candidate formulas is a meaningful and valid new scientific formula, based on a behavior of the reasoning error and the reasoning performance metric.
Inventor(s): Sumanta Mukherjee of Bangalore (IN) for international business machines corporation, Kanthi Sarpatwar of Briarcliff Manor NY (US) for international business machines corporation, Sattwati Kundu of Bangalore (IN) for international business machines corporation, Raghunath E. Nair of Bangalore (IN) for international business machines corporation, Shraddha Singh of Bangalore (IN) for international business machines corporation, Roman Vaculin of Larchmont NY (US) for international business machines corporation
IPC Code(s): G06N5/022, G06N5/01
CPC Code(s): G06N5/022
Abstract: generating a contrastive explanation for a machine learning model prediction includes generating, by a multi-label joint autoencoder, latent embeddings of a plurality of machine learning model predictions. the latent embeddings are datapoints representing the plurality of predictions within an embedding space. the datapoints are positioned by the multi-label joint autoencoder within the embedding space based on a semantic labeling of each datapoint. based on the latent embeddings, a plurality of computer-searchable data structures is generated. the computer-searchable data structures can identify a nearest flipped neighbor of datapoints within the embedding space. a nearest flipped neighbor determiner is output, the nearest flipped neighbor determiner constructed with the plurality of computer-searchable data structures.
Inventor(s): Atul Mene of Morrisville NC (US) for international business machines corporation, Jeremy R. Fox of Georgetown TX (US) for international business machines corporation, Tushar Agrawal of West Fargo ND (US) for international business machines corporation, Sarbajit K. Rakshit of Kolkata (IN) for international business machines corporation
IPC Code(s): G06N5/022
CPC Code(s): G06N5/022
Abstract: a computer-implemented method, a computer program product, and a computer system for amelioration management of edge computing devices. a computer generates digital twin models of respective ones of edge devices. a computer uses the digital twin models to predict an impacted edge device which has a health issue in edge computing. a computer uses the digital twin models to predict impact occurring time. a computer, based on simulations with the digital twin models, reassign a portion of edge computing loads that originally assigned to the impacted edge device to other edge devices. a computer keeps remaining edge computing loads on the impacted edge device such that the impacted edge device is able to complete the remaining edge computing loads prior to the impact occurring time. a computer removes dependencies of the other edge devices on the impacted edge device, in response to the remaining edge computing loads being completed.
Inventor(s): Mikael Hillborg of Umeå (SE) for international business machines corporation
IPC Code(s): G06N5/025, G06N5/01
CPC Code(s): G06N5/025
Abstract: a system, method and computer program product are disclosed for heuristic validations of an orchestrated cloud configuration. operations include retrieving container configuration information of a container of a cloud cluster environment; retrieving from a knowledge base a set of rules defining how to locate and classify associations between and among elements of a container configuration; performing a heuristic analysis of the retrieved container configuration information using the set of rules from the knowledge base; identifying associations between and among elements of the container configuration information, including identifying references, objects, and connections that are missing or improper, based on the set of rules; and providing a notification to a user that missing or improper associations, objects or references have been identified.
Inventor(s): Venkatesan Thirumalai Chakaravarthy of Bangalore (IN) for international business machines corporation, Anamitra Roy Choudhury of New Delhi (IN) for international business machines corporation, Ananda Sankar Pal of Hooghly (IN) for international business machines corporation, Yogish Sabharwal of Gurgaon (IN) for international business machines corporation
IPC Code(s): G06N5/04, G06N3/02
CPC Code(s): G06N5/04
Abstract: an embodiment includes configuring a grounding based application (gba) structure comprising a plurality of layers, where the plurality of layers comprises a first layer and a second layer, the first layer having a first node that receives an input associated with a child node responsive to an input query, and the second layer having a second node that outputs a response to the input query. the embodiment also includes evaluating, using the gba structure, a logical inference based on the input query, where the evaluating comprises generating a first truth table associated with the first node, where the generating of the first truth table comprises retaining truth values resulting from a downward inference pass on the gba structure and discarding truth values resulting from an upward inference pass on the gba structure. the embodiment also includes outputting, responsive to the evaluating, an output truth value representative of the logical inference.
Inventor(s): Saneem Ahmed Chemmengath of Bangalore (IN) for international business machines corporation, Vishwajeet Kumar of Bangalore (IN) for international business machines corporation, Jaydeep Sen of Bangalore (IN) for international business machines corporation, Rudra V Murthy of Bangalore (IN) for international business machines corporation
IPC Code(s): G06N5/04
CPC Code(s): G06N5/04
Abstract: one or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to facilitate a question generation system. a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a receiving component that receives a corpus of documents that contain tables (ts) and passages (ps) for performing natural language processing (nlp); an executing component that executes the nlp by employing the tables (st) and passages (ps) as primary inputs; and a query component that generates an output question (q) based on a subset of the tables ts and passages (ps).
Inventor(s): Panagiotis Barkoutsos of Zurich (CH) for international business machines corporation, Bibek Babu Pokharel of Los Angeles CA (US) for international business machines corporation, Daniel Josef Egger of Zurich (CH) for international business machines corporation, Ivano Tavernelli of Zurich (CH) for international business machines corporation, Laurin Elias Fischer of Zurich (CH) for international business machines corporation, Igor Sokolov of Clarens (CH) for international business machines corporation
IPC Code(s): G06N10/60, G06F9/50, G06N10/20
CPC Code(s): G06N10/60
Abstract: a method, computer system, and a computer program product for a resource-efficient pulse-based variational quantum circuit running on a selected quantum hardware to solve a given predefined problem. the present invention may include controlling an execution of a plurality of different quant controlling an execution of a plurality of different quantum circuits using the selected quantum hardware for the given predefined problem to be solved, evaluating a performance of each of the plurality of different quantum circuits, selecting a best performing one of the plurality of quantum circuits, generating a pulse sequence having a pulse schedule tailored to the selected quantum hardware and the given problem for the best performing one of the plurality of the different quantum circuits, and determining a simplified pulse schedule of the pulse sequence, thereby producing an efficient pulse-based schedule that acts as a pulse-based variational form for the best performing quantum circuit.
Inventor(s): Sarah Boufelja-Yacoubi of Richmond (GB) for international business machines corporation, Djallel Bouneffouf of Poughkeepsle NY (US) for international business machines corporation, Sergiy Zhuk of Dublin (IE) for international business machines corporation
IPC Code(s): G06N20/00
CPC Code(s): G06N20/00
Abstract: mechanisms are provided for training a machine learning computer model. the mechanisms execute a first initialization of machine learning training logic based on a determination of propensity scores for each output, of a plurality of predetermined outputs, of a machine learning computer model, the propensity scores being determined from historical data. the mechanisms execute a second initialization of the machine learning training logic by performing a trimmed optimization of the machine learning training logic, based on the historical data, to estimate initial parameters of the machine learning computer model. the resulting initialized machine learning training logic is executed on the machine learning computer model to train the machine learning computer model which is then deployed.
Inventor(s): Shivaram Subramanian of Frisco TX (US) for international business machines corporation, Wei Sun of Scarsdale NY (US) for international business machines corporation
IPC Code(s): G06N20/00
CPC Code(s): G06N20/00
Abstract: a method for generates an interpretable predictive model using relaxed classification trees includes receiving, by a processor, a set of data and one or more constraints to be applied to the set of data. the set of data, under the one or more constraints, is processed in a machine learning model. the operation of the machine learning model includes generating a hierarchical feature graph classifying the data points. a plurality of classification rules applicable to the data points are discovered using a linear or quadratic program problem. a weighted value is assigned to each rule applied to the data points, to generate weighted classification rules. a combination of the weighted rules is assigned to a plurality of the data points. interpretable classification trees are generated from the data points based on the combination of weighted classification rules of respective data points.
Inventor(s): Dhavalkumar C. Patel of White Plains NY (US) for international business machines corporation, Srideepika Jayaraman of White Plains NY (US) for international business machines corporation, Shuxin Lin of White Plains NY (US) for international business machines corporation, Anuradha Bhamidipaty of Yorktown Heights NY (US) for international business machines corporation, Jayant R. Kalagnanam of Briarcliff Manor NY (US) for international business machines corporation
IPC Code(s): G06N20/00, G06N5/022
CPC Code(s): G06N20/00
Abstract: a computer-implemented method for developing a hierarchical machine-learning pipeline can include receiving a hierarchy specification, a set of estimators for the root node, and one or more transformer options for each of the transformer nodes. the hierarchy specification provides a configuration of the root node, transformer nodes, and edges interconnecting the root and transformer nodes. a rank can be obtained for each estimator in the root node. a hierarchy pipeline traverser can then traverse a first child layer of the transformer nodes connected to the root node via one of the edges. a first ranked list of pathways can be determined with respect to the one or more transformer options selected for the first child layer and at least one selected estimator of the root node.
Inventor(s): Mustafa Safa Ozdayi of Richardson TX (US) for international business machines corporation, Swanand Ravindra Kadhe of San Jose CA (US) for international business machines corporation, Yi Zhou of San Jose CA (US) for international business machines corporation, Nathalie Baracaldo Angel of San Jose CA (US) for international business machines corporation
IPC Code(s): G06N20/00
CPC Code(s): G06N20/00
Abstract: a computer-implemented method of training a machine learning model to prevent data leakage from membership inference attacks. a pre-trained model and a pre-defined hyperparameter � are received as an input. a forward pass is applied by querying the pre-trained model with a private data. an initial loss distribution lof loss values is computed. a batch loss of a minibatch from the private data is computed after beginning a fine-tuning operation to transform the pre-trained model into a fine-tuned model, and a batch loss distribution lis computed. a divergence metric is computed between land l, and the output of the divergence metric is multiplied with the pre-defined hyperparameter a to obtain a result that is added to the batch loss as a regularizer. the model parameters are updated by computing backpropagation on the regularized loss. the fine-tuned model is output.
Inventor(s): Fang Lu of Billerica MA (US) for international business machines corporation, JOHN RUSSELL GERBERICH of Palatine IL (US) for international business machines corporation, Jana H. Jenkins of Raleigh NC (US) for international business machines corporation, Jeremy R. Fox of Georgetown TX (US) for international business machines corporation
IPC Code(s): G06Q10/0631
CPC Code(s): G06Q10/063112
Abstract: in an approach for selecting an individual or a group of individuals to serve as proxy for a user at a proper time and place, a processor analyzes an activity of a user and a criticality of completing the activity. responsive to determining a proxy should represent the user in completing the activity, a processor derives a content-relevant score for each potential proxy of a plurality of potential proxies associated with the user using a scoring model. a processor selects a potential proxy with the highest content-relevant score to serve as proxy for the user while completing the activity. a processor outputs an alert notification to the potential proxy selected, wherein the alert notification contains a set of critical data to enable the potential proxy to complete the activity.
Inventor(s): Sadegh Khalili of Poughkeepsie NY (US) for international business machines corporation, Rickie Yeung of Poughkeepsie NY (US) for international business machines corporation, Kevan Lucchini of Larchmont NY (US) for international business machines corporation, Arkadiy O. Tsfasman of Wappingers Falls NY (US) for international business machines corporation, Mary Day of Warren NJ (US) for international business machines corporation
IPC Code(s): G06Q10/0631, G10L15/18
CPC Code(s): G06Q10/063114
Abstract: a method, computer program product, and computer system are provided for speech recognition-based task organization. voice data corresponding to a task for a user to perform is received from the user. the task is identified from the received voice data through natural language processing and is classified as a parent task or a child task. the identified task is compared to prior tasks stored within a historical task database. an amount of time needed to complete the identified task is determined based on the compared prior tasks. actions of the user are tracked and a task progress completion value is determined based on the identified amount of time.
Inventor(s): Seetha Subramaniam of Bangalore (IN) for international business machines corporation, Pooja Rundwal of Bangalore (IN) for international business machines corporation, Raghuraman Seshadri of Bangalore (IN) for international business machines corporation, Mahesh Shivram Paradkar of Pune (IN) for international business machines corporation
IPC Code(s): G06Q10/0635
CPC Code(s): G06Q10/0635
Abstract: an embodiment defines a risk model that generates a risk score for an asset based on a plurality of factors, including a first factor that is a first factor type and a second factor that is a second factor type. the model includes a plurality of associations, including a first association that associates a first factor weight with a specified significance of the first factor, and a second association that associates a second factor weight with a time-based metric of the second factor. the embodiment includes modifying one of the plurality of associations resulting in a modified risk model, and generating, using the modified risk model, a risk score for the asset, the generating including determining the risk score for the asset based at least in part on a first factor weight value of the first factor weight and a second factor weight value of the second factor weight.
Inventor(s): Jennifer M. Hatfield of Portland OR (US) for international business machines corporation, Stan Kevin Daley of Espanola NM (US) for international business machines corporation, Lucia Larise Stavarache of Columbus OH (US) for international business machines corporation, Marina-Adriana Mercioni of Timisoara (RO) for international business machines corporation
IPC Code(s): G06Q10/0639, G06Q10/0633
CPC Code(s): G06Q10/06393
Abstract: optimizing a user experience (ux) through improved efficiency of ux research includes using a processor to identify a candidate object, associated with parameters, for research. a current state of the candidate object is assessed by the processor based on the parameters. this assessment may include performing simulations, performed by the processor, on the candidate object using different combinations of the parameters. research methods are selected, by the processor, from research method recommendations generated for the candidate object based on key performance indicators (kpis) determined according to the assessment. machine learning logic is executed by the processor to evaluate the research methods for the candidate object using a machine learning model, and the candidate object and/or research methods is/are modified by the processor based on output from the machine learning model.
Inventor(s): STEVE MCDUFF of UNIONVILLE (CA) for international business machines corporation, BEN Z. AKSELROD of GIVAT SHMUEL (IL) for international business machines corporation, ANTHONY DI LORETO of MARKHAM (CA) for international business machines corporation, KYLE D. ROBESON of NORTH YORK (CA) for international business machines corporation
IPC Code(s): G06Q10/087, G06Q30/0601
CPC Code(s): G06Q10/087
Abstract: computer analysis of perishable item data to generate purchase options based on the perishable items expiration data and date of use. analysis includes receiving a date of use of perishable item and determining the inventory availability of the perishable item. analysis further includes generating an expiration time window for the perishable item based on the expiration data for the perishable item using a knowledge database for the perishable item. the expiration data can include a categorization of the perishable item and an expected shelf life. the generated data matrix of purchase options over a period of time are based on the expiration time window, the inventory availability, and the date of use of the perishable item received from a device. further, analysis includes communicating the data matrix to the device used by the user.
Inventor(s): Joseph Arocho of Poughkeepsie NY (US) for international business machines corporation, Jonathan Fry of Fishkill NY (US) for international business machines corporation, Jennifer Anne Camacho of Wappingers Falls NY (US) for international business machines corporation, Nnaemeka Mcdonald Eluagu of Poughkeepsie NY (US) for international business machines corporation, Christopher Mazile of Brooklyn NY (US) for international business machines corporation
IPC Code(s): G06Q10/1093, G06Q10/0631
CPC Code(s): G06Q10/1095
Abstract: a resource reservation system and method for scheduling and reserving of rooms for meetings of groups of individuals. the method determines an amount of time to allot between scheduled back-to-back meetings for an amount of cleaning of the room between the back-to-back meetings in order to minimize a risk of illness/dirtiness and minimize cross contamination of participants in the next group meeting in the room. the method determines a level of risk corresponding to determined hierarchical relationships between participants of the meeting/group and their personal characteristics. the hierarchical relationships include a determined relationship between and among the participants of a group and their relations with other non-participants of the group and any determined physical distances between participants that have determined relationships. based on the computed level of risk score for that resource, the method determines an amount of cleaning and the amount of time allotted for the resource cleaning.
Inventor(s): Su Liu of Austin TX (US) for international business machines corporation, Syed I. Haiderzaidi of Round Rock TX (US) for international business machines corporation, Paul Llamas Virgen of Guadalajara (MX) for international business machines corporation, Demetrice L Browder of Liberty Hill TX (US) for international business machines corporation
IPC Code(s): G06Q30/018, G06Q30/0202
CPC Code(s): G06Q30/018
Abstract: a method, computer program product, and a system are configured to: detect sensors in an internet-of-things (iot) network of a supply chain of fresh produce; collect data from the detected sensors via the iot network; determine a demand of a type of produce at a future date using the collected data and a forecasting model; determine a change to an output of a greenhouse growing the type of produce based on the determined demand for the type of produce; determine a growing plan for the greenhouse based on the determined change to the output of the greenhouse; adjust one or more growing environment conditions in the greenhouse based on the growing plan, wherein the adjusting includes sending control signals to one or more computer-based environment control systems in the greenhouse, and wherein the adjusting changes a maturity time of a batch of the type of produce growing the greenhouse.
Inventor(s): Jovan Blanuša of Zurich (CH) for international business machines corporation, Maximo Cravero Baraja of San Marino CA (US) for international business machines corporation, Kubilay Atasu of Rueschlikon (CH) for international business machines corporation, Charalampos Pozidis of Thalwil (CH) for international business machines corporation
IPC Code(s): G06Q30/018, G06Q40/00
CPC Code(s): G06Q30/0185
Abstract: in an approach, a processor identifies subgraphs of predefined patterns in a first graph, the first graph: (i) representing a specific ontology and (ii) comprising nodes representing first entities and first edges representing relationships between the first entities. a processor represents the identified subgraphs by respective second graphs, thereby forming multi-relational graphs, each second graph comprising nodes representing second entities and second edges representing relationships between the second entities, where: the second entities are the respective nodes of the first graph; and each second edge indicates that the two second entities linked by the second edge are part of a pattern of the predefined patterns. a processor inputs the multi-relational graphs to a multi-relational graph neural network for generating output in accordance with the specific ontology. a processor provides the output.
Inventor(s): Frank Isaacs of Wake Forest NC (US) for international business machines corporation, Randy A. Rendahl of Raleigh NC (US) for international business machines corporation, Ashley Kristin Silva of Durham NC (US) for international business machines corporation
IPC Code(s): G06Q30/0251
CPC Code(s): G06Q30/0261
Abstract: mechanisms are provided for automatically performing proximity based searches and reminders for items of interest. the mechanisms generate an item listing for a user having entries for things of interest (tois) that specify characteristics of the tois and notification criteria for notifying the user of availability of the tois within a specified proximity of a user location. location data for locations within the proximity of the user location are processed to identify a provider that matches a characteristic of an entry of the toi. provider information is analyzed to determine whether the provider provides the toi and whether conditions satisfy the notification criteria for the toi. in response to determining that the provider provides the toi and the conditions satisfy the notification criteria, an alert notification is output to a user computing device informing the user of the availability of the toi within the specified proximity of the user location.
Inventor(s): Tushar Agrawal of West Fargo ND (US) for international business machines corporation, Atul Mene of Morrisville NC (US) for international business machines corporation, Jeremy R. Fox of Georgetown TX (US) for international business machines corporation, Sarbajit K. Rakshit of Kolkata (IN) for international business machines corporation
IPC Code(s): G06Q30/08, H04L65/403
CPC Code(s): G06Q30/08
Abstract: techniques are described with respect to a system, method, and computer product for bidding on a virtual space. an associated method includes analyzing a first virtual collaborative domain and in response to the analysis, assigning a potentiality score of the virtual space for bidding of the first virtual collaborative domain. the method further including assigning a potentiality score of the virtual space for bidding of the first virtual collaborative domain; conducting a virtual auction for the virtual space; and in response to finalizing the virtual auction, infusing a second virtual collaborative domain with the first virtual collaborative domain.
Inventor(s): Nuo XU of Hangzhou (CN) for international business machines corporation, Ze WANG of Beijing (CN) for international business machines corporation, Ya Juan DANG of Beijing (CN) for international business machines corporation, Yuhong ZOU of Shanghai (CN) for international business machines corporation, Yang LIANG of Beijing (CN) for international business machines corporation, Yuan Yuan LI of Beijing (CN) for international business machines corporation
IPC Code(s): G06T19/00
CPC Code(s): G06T19/006
Abstract: distributed rendering of digital objects in augmented reality environments includes a method, system, and computer program product that are configured to: receive a first space matrix from a first augmented reality (ar) device; receive a second space matrix from a second ar device; perform distributed rendering of a digital object for the first ar device and the second ar device in response to receiving the first space matrix and the second space matrix; transmit first image data to the first ar device, the first image data defining the first version of the first part of the digital object and the second part of the digital object; and transmit second image data to the second ar device, the second image data defining the second version of the first part of the digital object and the second part of the digital object.
Inventor(s): Guang Han SUI of Beijing (CN) for international business machines corporation, Peng Hui JIANG of Beijing (CH) for international business machines corporation, Jun SU of Beijing (CN) for international business machines corporation, Su LIU of Austin TX (US) for international business machines corporation, Yu ZHU of Beijing (CN) for international business machines corporation
IPC Code(s): G06T19/00, G06F3/04815, G06T19/20
CPC Code(s): G06T19/006
Abstract: techniques are described with respect to a system, method, and computer program product for ar visual impairment assistance. an associated method includes analyzing an ar experience of a user; detecting at least one virtual object based on the analysis; generating a model of the at least one virtual object; receiving an ar command of the user; and modifying the model based on the ar command.
Inventor(s): Celia Cintas of Nairobi (KE) for international business machines corporation, Hannah Halin Kim of New York NY (US) for international business machines corporation, Girmaw Abebe Tadesse of Nairobi (KE) for international business machines corporation, Skyler SPEAKMAN of Nairobi (KE) for international business machines corporation
IPC Code(s): G06V40/40, G06V10/774, G06V40/20
CPC Code(s): G06V40/40
Abstract: a present invention embodiment prevents patch-based adversarial attacks. a plurality of time-series images are processed using a machine learning model to identify an anomaly, wherein the anomaly comprises an adversarial patch-based attack, and wherein the anomaly is present in a locality comprising a particular time and space in the plurality of time-series images. a subset of the plurality of time-series images are modified based on the locality of the anomaly to mask the anomaly from detection by a trained image processing model.
Inventor(s): Seema Nagar of Bangalore (IN) for international business machines corporation, Cristina Bonanni of Rome (IT) for international business machines corporation, Tathagato Bose of Kolkata (IN) for international business machines corporation, Luigi Pichetti of Rome (IT) for international business machines corporation
IPC Code(s): G07C5/08
CPC Code(s): G07C5/0808
Abstract: a method of sensor enabled vehicle repair validation is provided including obtaining pre-repair sensor data from at least some pre-repair components of a vehicle. post-repair sensor data is obtained from at least some post-repair components of the vehicle. the vehicle repair validation is performed by comparing the obtained post-repair sensor data to the obtained pre-repair sensor data using a difference model.
Inventor(s): Martin G. Keen of Cary NC (US) for international business machines corporation, Jeffrey Bisti of New Paltz NY (US) for international business machines corporation, Kriti Kamra of Markham (CA) for international business machines corporation, Mark Bylok of Toronto (CA) for international business machines corporation
IPC Code(s): G09B7/02
CPC Code(s): G09B7/02
Abstract: disclosed embodiments provide techniques for automated evaluation and scoring of curriculum challenges such as tests and quizzes. an automated score is provided to students, as well as prescriptive guidance on where the provided solution deviates from best practices and/or the taught curriculum. curriculum material and challenge material are input to a machine learning system to create a grading model. the challenge material can include a software programming challenge. the grading model is used to evaluate curriculum responses and provide a score and feedback based on the evaluation. the evaluation can be based on the curriculum. there can be multiple ways to solve a programming (coding) challenge and disclosed embodiments give scoring preference to solutions that employ techniques covered in the curriculum.
Inventor(s): Samuel Thomas of White Plains NY (US) for international business machines corporation, Hong-Kwang Kuo of Pleasantville NY (US) for international business machines corporation, George Andrei Saon of Stamford CT (US) for international business machines corporation, Brian E. D. Kingsbury of Cortlandt Manor NY (US) for international business machines corporation
IPC Code(s): G10L15/16, G10L15/02, G10L15/06
CPC Code(s): G10L15/16
Abstract: features of two or more single speaker utterances are concatenated together and corresponding labels of the two or more single speaker utterances are concatenated together. single speaker acoustic embeddings for each of the single speaker utterances of the concatenated single speaker utterances are generated using a single speaker teacher encoder network. an enhanced model is trained on the concatenated single speaker utterances using a classification loss land a representation similarity loss l, the representation similarity loss ldefined to influence an embedding derived from the concatenated single speaker utterances, the influence being based on the single speaker acoustic embeddings derived from the single speaker teacher encoder network.
Inventor(s): Takashi Fukuda of Tokyo (JP) for international business machines corporation, George Andrei Saon of Stamford CT (US) for international business machines corporation
IPC Code(s): G10L15/19, G10L15/22
CPC Code(s): G10L15/19
Abstract: a word-level confidence score is calculated using a computerized automatic speech recognition system by computing an average of confidence levels for each character in a word and a trailing space character delineating an end of the word and the word is managed using the computerized automatic speech recognition system and using a threshold process based on the calculated word-level confidence score.
Inventor(s): Si Tong Zhao of Beijing (CN) for international business machines corporation, Li Juan Gao of Xi'an (CN) for international business machines corporation, Yuan Yuan Ding of Shanghai (CN) for international business machines corporation, Tong Liu of Xi'an (CN) for international business machines corporation
IPC Code(s): G16H20/00, G16H40/67, G16H50/20
CPC Code(s): G16H20/00
Abstract: a method, computer program product, and computer system are provided for predicting treatment options based on cardiac auscultation data. text data and audio data corresponding to cardiac auscultation associated with a patient is received. the text data and the audio data are encoded as respective text vectors and audio vectors. a distance between the text vectors and the audio vectors is calculated. diagnosis results are determined by a machine learning model based on the calculated distance between the text vectors and the audio vectors.
Inventor(s): Paul R. Bastide of Ashland MA (US) for international business machines corporation, Matthew E. Broomhall of Goffstown NH (US) for international business machines corporation, Robert E. Loredo of North Miami Beach FL (US) for international business machines corporation
IPC Code(s): G16H40/20, G16H10/60
CPC Code(s): G16H40/20
Abstract: tracking unregulated device usage in a clinical setting is provided. a patient caseload for a medical device is determined via electronic health record (ehr) data for the clinical setting. a capacity for the medical device in the clinical setting is determined by accessing an electronic inventory. overcapacity of the medical device is determined based on the capacity and the patient caseload. an alert on unregulated device usage is generated in response to determining the overcapacity of the medical device.
Inventor(s): Oscar van der Straten of Guilderland Center NY (US) for international business machines corporation, Willie Lester Muchrison, JR. of Troy NY (US) for international business machines corporation, Chih-Chao Yang of Glenmont NY (US) for international business machines corporation
IPC Code(s): H01L21/768, H01L23/532
CPC Code(s): H01L21/76843
Abstract: a semiconductor structure including a homogeneous interconnect structure embedded in a dielectric layer, where the homogeneous interconnect structure includes a third region vertically aligned above a second region vertically aligned above a first region, the third region includes three sections: an upper section including a first width; a middle section including an upper horizontal surface including the first width and a lower horizontal surface including a second width; and a lower section including the second width; where the first width is less than the second width; and the second region including a third width at an upper horizontal surface of the second region and a fourth width at a lower horizontal surface of the second region, where the third width is greater than the fourth width.
Inventor(s): Min Gyu Sung of Latham NY (US) for international business machines corporation, Ruilong Xie of Niskayuna NY (US) for international business machines corporation, Julien Frougier of Albany NY (US) for international business machines corporation, Chanro Park of Clifton Park NY (US) for international business machines corporation, Juntao Li of Cohoes NY (US) for international business machines corporation
IPC Code(s): H01L21/822, H01L21/8234, H01L27/02, H01L27/146, H01L29/68
CPC Code(s): H01L21/8221
Abstract: embodiments of the invention are directed to an integrated circuit (ic) that includes a stacked device configuration having a top electronic device positioned over a bottom electronic device, along with an isolation region operable to electrically isolate at least a gate region of the top electronic device from a gate region of the bottom electronic device. the gate region of the top electronic device includes a first conductive material, and the gate region of the bottom electronic device includes a second conductive material that is different from the first conductive material.
Inventor(s): Mukta Ghate Farooq of Hopewell Junction NY (US) for international business machines corporation, John Knickerbocker of Monroe NY (US) for international business machines corporation, Keiji Matsumoto of Yokohama-shi (JP) for international business machines corporation
IPC Code(s): H01L23/373
CPC Code(s): H01L23/3735
Abstract: an electronic device in which an electrically-insulating and highly thermal conductive sheet is located at the interconnect level is provided. the presence of the electrically-insulating and highly thermal conductive sheet at the interconnect level provides a significant reduction in the temperature of the electronic device, without causing excess stress in the electronic device. this results in electronic devices that have improved performance and reliability.
Inventor(s): Joshua M. Rubin of Albany NY (US) for international business machines corporation, Marc A. Bergendahl of Rensselaer NY (US) for international business machines corporation
IPC Code(s): H01L23/48, H01L21/768
CPC Code(s): H01L23/481
Abstract: aspects of the present invention provide a semiconductor structure. the semiconductor structure may include a first horizontally-fabricated semiconductor die section and a vertical interconnect (vi) die perpendicularly oriented to the first semiconductor die section. the vi die may include vertical metal interconnect lines electrically connecting components above and below the vi die.
Inventor(s): Ruilong Xie of Niskayuna NY (US) for international business machines corporation, Nicholas Anthony Lanzillo of Wynantskill NY (US) for international business machines corporation, Huai Huang of Clifton Park NY (US) for international business machines corporation, Atharv Jog of Albany NY (US) for international business machines corporation, Hosadurga Shobha of Niskayuna NY (US) for international business machines corporation, Lawrence A. Clevenger of Saratoga Springs NY (US) for international business machines corporation
IPC Code(s): H01L23/522, H01L21/768, H01L23/528
CPC Code(s): H01L23/5226
Abstract: a semiconductor interconnect structure and formation thereof. the semiconductor interconnect structure includes a plurality of metal lines of a first metal level. the semiconductor interconnect structure further includes a via formed substantially offset from a centerline of a first metal line and at least partially through a first portion of the first metal line located beneath the via.
Inventor(s): Tsung-Sheng Kang of Ballston Lake NY (US) for international business machines corporation, Tao Li of Slingerlands NY (US) for international business machines corporation, Ruilong Xie of Niskayuna NY (US) for international business machines corporation, Daniel Charles Edelstein of White Plains NY (US) for international business machines corporation
IPC Code(s): H01L23/528, H01L23/522, H01L27/02
CPC Code(s): H01L23/5286
Abstract: a semiconductor structure is provided that includes an inverter including a p-type field transistor and an n-type field effect transistor) having a shared gate structure and located on a frontside of the structure. the semiconductor structure further includes a passive device located on a backside of the structure and electrically connected to the shared gate structure of the inverter by a backside extension contact structure, and a backside power distribution network electrically connected to the passive device.
Inventor(s): Yann Mignot of Slingerlands NY (US) for international business machines corporation, Shahab Siddiqui of Clifton Park NY (US) for international business machines corporation, Chanro Park of Clifton Park NY (US) for international business machines corporation, Ruilong Xie of Niskayuna NY (US) for international business machines corporation
IPC Code(s): H01L23/528, H01L29/06, H01L29/40, H01L29/417, H01L29/423, H01L29/66, H01L29/775
CPC Code(s): H01L23/5286
Abstract: a mosfet includes a semiconductor substrate that has a frontside and a backside; a metal gate at the frontside of the substrate; a first source/drain structure at the frontside of the substrate, adjacent to the metal gate in a first direction; and a first source/drain contact at the frontside of the first source/drain structure. also included are a backside power rail at the backside of the substrate; and a recessed via that connects the first source/drain contact through the substrate to the backside power rail. the recessed via is adjacent to the first source/drain structure in a direction perpendicular to the first direction. a dielectric cap covers a frontside of the first source/drain contact. a gate contact is disposed at a frontside of the dielectric cap. the gate contact at least partly overlies the first source/drain contact.
20240332194. CHIP MODULE ASSEMBLY_simplified_abstract_(international business machines corporation)
Inventor(s): Mukta Ghate Farooq of Hopewell Junction NY (US) for international business machines corporation, FEE LI LIE of Albany NY (US) for international business machines corporation
IPC Code(s): H01L23/538, H01L23/00, H01L23/31, H01L23/528, H01L25/065
CPC Code(s): H01L23/5384
Abstract: an electronic device including a chip module assembly is provided. the chip module assembly includes at least one first semiconductor chip pair located at a first chip level, a bridge die interconnecting the at least one first semiconductor chip pair, and at least one second semiconductor chip pair located on top of the first chip level, wherein the at least one second chip pair are connected to each other through the at least one first semiconductor chip pair and the bridge die.
Inventor(s): Nicholas Alexander Polomoff of Hopewell Junction NY (US) for international business machines corporation, Mukta Ghate Farooq of Hopewell Junction NY (US) for international business machines corporation, Dale Curtis McHerron of Staatsburg NY (US) for international business machines corporation, Eric Perfecto of Poughkeepsie NY (US) for international business machines corporation, Katsuyuki Sakuma of Fishkill NY (US) for international business machines corporation, SPYRIDON SKORDAS of Troy NY (US) for international business machines corporation
IPC Code(s): H01L23/00, H01L21/56, H01L21/768, H01L23/31, H01L23/48, H01L25/00, H01L25/065
CPC Code(s): H01L24/20
Abstract: a three-dimensional (3d) die architecture is provided. the 3d die architecture includes a first die and a second die. the second die includes multiple interior layers of various types and is hybrid bonded to the first die along a hybrid bond layer. the 3d die architecture further includes oxide liner material extending from an exposed surface of the second die to the hybrid bond layer, a first through-silicon-via (tsv) extending from the exposed surface to a corresponding one of the multiple interior layers and a second tsv extending within the oxide liner material from the exposed surface to the hybrid bond layer.
Inventor(s): Ruilong Xie of Niskayuna NY (US) for international business machines corporation, Albert M. Chu of Nashua NH (US) for international business machines corporation, Dureseti Chidambarrao of Weston CT (US) for international business machines corporation, Brent A. Anderson of Jericho VT (US) for international business machines corporation
IPC Code(s): H01L27/092, H01L21/28, H01L21/768, H01L21/8238, H01L23/528, H01L23/535, H01L29/06, H01L29/417, H01L29/423, H01L29/66, H01L29/775
CPC Code(s): H01L27/092
Abstract: a gate contact is formed within a gate cut region of a semiconductor structure to facilitate electrical routing. the gate contact includes a bottom portion extending within the gate cut region and adjoining a vertical end portion of a metal gate. a metal layer on the front side of the semiconductor structure includes signal tracks, one or more of which is vertically above the gate cut region. a signal track in the metal layer may be electrically connected to the gate contact. selected source/drain regions within the semiconductor structure may be electrically connected to a back side power delivery network.
Inventor(s): Ruilong Xie of Niskayuna NY (US) for international business machines corporation, Tsung-Sheng Kang of Ballston Lake NY (US) for international business machines corporation, Alexander Reznicek of Troy NY (US) for international business machines corporation, Sagarika Mukesh of Albany NY (US) for international business machines corporation
IPC Code(s): H01L27/092, H01L21/8234, H01L23/528, H01L29/06, H01L29/423, H01L29/775
CPC Code(s): H01L27/092
Abstract: embodiments are disclosed for a semiconductor structure. the semiconductor structure includes a first pair of field effect transistors (fets). additionally, the semiconductor structure includes a second pair of fets. further, the semiconductor structure includes a shallow gate cut that separates a first pair of gates, a first pair of channels, and a first pair of source/drain (s/d) epitaxies of the first pair of fets. additionally, the first pair of s/d epitaxies are wired to a backside power rail (bpr) by a backside contact. further, the semiconductor structure includes a deep gate cut that separates a second pair of s/d epitaxies of the second pair of fets. additionally, one of the second pair of s/d epitaxies is wired to a back end of line (beol) interconnect via a frontside contact. further, another of the second pair of s/d epitaxies is wired to the bpr by a backside contact.
Inventor(s): DOMINGO FERRER of Clifton Park NY (US) for international business machines corporation, Wai Kin Li of Albany NY (US) for international business machines corporation
IPC Code(s): H01L27/092, H01L21/8238, H01L23/48, H01L29/06, H01L29/423, H01L29/66, H01L29/775, H01L29/786
CPC Code(s): H01L27/092
Abstract: a semiconductor device integrated circuit includes a semiconductor wafer, an insulator on the wafer, a first field effect transistor (fet) positioned in the insulator, a second fet positioned in the insulator between the wafer and the first fet, a pore in the insulator that extends to the second fet, a via that is electrically connected to the second fet and positioned in the pore, and a liner positioned between the via and the pore. the first fet is electrically insulated from the via by the liner.
Inventor(s): Ruilong Xie of Niskayuna NY (US) for international business machines corporation, Julien Frougier of Albany NY (US) for international business machines corporation, Huimei Zhou of Albany NY (US) for international business machines corporation, Alexander Reznicek of Troy NY (US) for international business machines corporation
IPC Code(s): H01L27/092, H01L21/8238, H01L29/06, H01L29/423, H01L29/66, H01L29/775, H01L29/786
CPC Code(s): H01L27/092
Abstract: a semiconductor device includes a vertical insulator pillar extending from the substrate. a first stack of horizontal sheets of a first channel device is coupled to a lateral first side of the vertical insulator pillar and a second stack of horizontal sheets of a second channel device is coupled to a lateral second side of the vertical insulator pillar, opposite the first stack of horizontal sheets. a first gate stack is wrapped around the first stack of horizontal sheets. a second gate stack is wrapped around the second stack of horizontal sheets. a first gate extension is coupled to a center portion of the first gate stack and extending laterally away from the second gate stack and a second gate extension is coupled to a center portion of the second gate stack and extending laterally away from the first gate stack.
Inventor(s): Ruilong Xie of Niskayuna NY (US) for international business machines corporation, Roy R. Yu of Poughkeepsie NY (US) for international business machines corporation, SON NGUYEN of Schenectady NY (US) for international business machines corporation
IPC Code(s): H01L29/66, H01L21/8234, H01L23/522, H01L23/528, H01L27/088, H01L29/06, H01L29/423, H01L29/775, H01L29/78, H01L29/786
CPC Code(s): H01L29/66545
Abstract: a semiconductor structure with a nanosheet device region with gaa nanosheet fets on a bottom dielectric isolation layer. the gaa nanosheet fets connect by a frontside contact to the frontside back-end-of-line (beol) interconnect wiring and by a backside contact to the backside beol interconnect wiring. the semiconductor structure includes a finfet device region with one or more finfet devices on bottom interlayer dielectric material. the finfet devices with a thick gate oxide connect by a frontside contact to the frontside beol interconnect wiring. the semiconductor structure also includes a three-dimensional mim capacitor region with one or more three-dimensional mim capacitors. the three-dimensional mim capacitors with a high capacitance have a fin-like backside metal plate covered by a high-k dielectric material or super capacitor materials that is under a frontside metal plate. the three-dimensional mim capacitors connect to the frontside beol interconnect wiring and the backside beol interconnect wiring.
Inventor(s): Yuanchen HU of Peekskill NY (US) for international business machines corporation, Jayapreetha NATESAN of Hopewell Junction NY (US) for international business machines corporation, Milnes P. DAVID of New Paltz NY (US) for international business machines corporation, Noah SINGER of White Plains NY (US) for international business machines corporation, Natesan VENKATESWARAN of Hopewell Junction NY (US) for international business machines corporation
IPC Code(s): H01M10/48, G01R31/367, G01R31/396, H01M10/0525, H01M50/204
CPC Code(s): H01M10/486
Abstract: embodiments of the present disclosure provide systems and methods for configuring battery packs, such as used in computer systems. the disclosed systems and methods provide an optimal battery configuration of battery cell types in the battery pack, improving battery performance and a functional operational period for the battery pack. the disclosed systems and methods select an optimal battery type for each position of the battery cells in a linear battery cell string of the battery pack.
Inventor(s): Yuanchen HU of Peekskill NY (US) for international business machines corporation, Jayapreetha NATESAN of Hopewell Junction NY (US) for international business machines corporation, Milnes P. DAVID of New Paltz NY (US) for international business machines corporation, Noah SINGER of White Plains NY (US) for international business machines corporation, Natesan VENKATESWARAN of Hopewell Junction NY (US) for international business machines corporation
IPC Code(s): H01M10/653, G01R31/382, H01M10/62, H01M10/655
CPC Code(s): H01M10/653
Abstract: embodiments of the present disclosure provide a mesh cooling structure, methods and battery cooling systems for cooling a battery cell, such as used in computer systems. the disclosed mesh cooling structure, method and battery cooling system provide effective battery cell cooling with the cooling mesh structure installed with a given battery cell to improve capacity and performance of the battery cell. the disclosed cooling mesh structure can be provided with selected battery cells in a battery pack to provide optimal battery capacity for the battery pack.
Inventor(s): Sarbajit K. Rakshit of Kolkata (IN) for international business machines corporation, Jagabondhu Hazra of BANGALORE (IN) for international business machines corporation, Manikandan Padmanaban of BANGALORE (IN) for international business machines corporation
IPC Code(s): H02J50/40, H02J3/38
CPC Code(s): H02J50/402
Abstract: computer-implemented methods for forming a wireless power grid in an environment are provided. aspects include determining an activity to be performed by a set of data collection devices in the environment, obtaining geographic data regarding the environment, and identifying natural power sources in the environment based on the geographic data. aspects also include deploying power generation devices to the natural power sources in the environment, deploying the set of data collection devices in the environment to perform the activity, and deploying a plurality of wireless power transmission devices to the environment. aspects further include instructing the power generation devices to collect power from the natural power sources and to wirelessly transmit power to one of the plurality of wireless power transmission devices and instructing the one of the plurality of wireless power transmission devices to wirelessly transmit power to one of the set of data collection devices.
Inventor(s): Robert LYNCH of Bedminster NJ (US) for international business machines corporation, Hyman David CHANTZ of Scarsdale NY (US) for international business machines corporation, Elijah SWIFT of Poughkeepsie NY (US) for international business machines corporation
IPC Code(s): H04B10/079
CPC Code(s): H04B10/07955
Abstract: links between multiple points are monitored. a determination is made that there is a change in power on a link being monitored. based on determining that there is the change in the power on the link, latency on the link is checked and an anomaly on the link is detected. based on detecting that there is the anomaly on the link, a determination is made of a type of the anomaly based on whether the checking indicates there is a latency change in the latency of the link.
Inventor(s): Muhammad Usman Karim Khan of Karlsruhe (DE) for international business machines corporation, Timo Kussmaul of Boeblingen (DE) for international business machines corporation
IPC Code(s): H04L9/08
CPC Code(s): H04L9/0891
Abstract: the present disclosure relates to a method for enabling a securing of cryptographic operations executed by a stateless hardware security module for a client workload, the method comprises a key generation request from the client workload and an attestation document, verifying the key generation request and attestation document, determining workload requirements for the client workload, generating a cryptographic key and encoding the determined workload requirements as attributes of the generated cryptographic key. the generated cryptographic key and the attributes, which are cryptographically secured using a hardware security module key, are returned to the client workload.
Inventor(s): William Ogallo of Nairobi (KE) for international business machines corporation, Julian Bertram Kuehnert of Nairobi (KE) for international business machines corporation, Isaiah Mulang' Onando of Nairobi (KE) for international business machines corporation, Aisha Walcott of Nairobi (KE) for international business machines corporation, Sekou Lionel Remy of Nairobi (KE) for international business machines corporation, Charles Muchiri Wachira of Karatina (KE) for international business machines corporation
IPC Code(s): H04L12/18
CPC Code(s): H04L12/1818
Abstract: an embodiment associates a virtual-meeting host designation with a first user. during the virtual meeting, the embodiment generates meeting context data that includes user characteristic data and meeting characteristic data. the embodiment uses the meeting context data to generate a predicted end time for the virtual meeting and predicts a meeting run-over condition indicative of the virtual meeting continuing past a scheduled end time by comparing the predicted end time and a scheduled end time. responsive to predicting the meeting run-over condition, the embodiment uses the user characteristic data to generate a ranked list of other users and renders, as a display to the first user, the ranked list and an indication of the meeting run-over condition. the embodiment receives a selection of a second user as a new host of the virtual meeting and, responsive to receiving the selection, associates the host designation with the second.
Inventor(s): GEORG BASIL RICHARD MOSHOUS of UNTERFOHRING (DE) for international business machines corporation, ADRIANA PELLEGRINI FURNIELIS of VALINHOS (BR) for international business machines corporation, SARVESH S. PATEL of PUNE (IN) for international business machines corporation, MARC HENRI COQ of HOPEWELL JUNCTION NY (US) for international business machines corporation, EBENEZER KOFI of DULUTH GA (US) for international business machines corporation
IPC Code(s): H04L41/5009, H04L41/14, H04L41/5025
CPC Code(s): H04L41/5009
Abstract: optimizing non-functional requirements across components of a high availability cluster may include receiving metadata from each of a plurality of components of a high availability network cluster. the metadata is indicative of a value, measured by each of the plurality of components, of one or more non-functional requirements of a service level agreement (sla) associated with an application. a predicted non-functional requirement is calculated using the metadata based on a model. the model is trained to determine the predicted non-functional requirement based on relationships between the metadata of each of the plurality of components. a potential violation of the sla is determined based on a comparison of the predicted non-functional requirement and the metadata.
Inventor(s): MD ABDUL ALIM of White Plains NY (US) for international business machines corporation, Ali Sydney of Pepperell MA (US) for international business machines corporation, BENGI KARACALI-AKYAMAC of Somerset NJ (US) for international business machines corporation
IPC Code(s): H04L45/00, H04L45/24, H04L45/64
CPC Code(s): H04L45/34
Abstract: provided are a computer program product, system, and method for coordinating selection of a path between a source node and a destination node in a network. the source node selects a first path to a destination node based on source switch port utilization information for ports in a local source switch. the source node transmits a path setup message to the destination node over the selected first path. the destination node determines a second path from the source node to the destination node including a selected local source switch port and a local destination switch port based on utilization information in the path setup message and destination switch port utilization information. the destination node transmits to the source node a reply to the path setup message indicating the second path. the source node uses the second path indicated in the reply to communicate with the destination node.
Inventor(s): Michael Desmond of White Plains NY (US) for international business machines corporation, Zahra Ashktorab of Brooklyn NY (US) for international business machines corporation, Michelle Brachman of Quincy MA (US) for international business machines corporation, James Johnson of Somerville MA (US) for international business machines corporation, Casey Dugan of Cambridge MA (US) for international business machines corporation, Qian Pan of Canton MA (US) for international business machines corporation
IPC Code(s): H04L51/02, G06F40/20
CPC Code(s): H04L51/02
Abstract: provided are techniques for moderating artificial intelligence (ai) agent interlocution in group dialog environments. under control of an interlocution module that has been trained with dialog content and dialog turns, an indication that interlocution is to be determined for a group dialog is received. under control of the interlocution module, it is determined whether an ai agent is to participate in the group dialog based on a current dialog context and a dialog response. under control of the interlocution module, in response to determining that the ai agent is to participate in the group dialog, the ai agent is triggered to post the dialog response to the group dialog.
Inventor(s): EDGAR SU SU-CHOUG of Tlajomulco de Zuñiga (MX) for international business machines corporation, KASIA KARIMEE GARCIA BRACHO of Guadalajara (MX) for international business machines corporation, Marcos Alejandro Castillo Rivas of Tonala (MX) for international business machines corporation, Steven Lee Fisher-Stawinski of Buffalo Grove IL (US) for international business machines corporation
IPC Code(s): H04L51/063, G06Q10/107, H04L51/214, H04L51/234
CPC Code(s): H04L51/063
Abstract: the method provides for receiving a draft message that includes recipients of the draft message, content of the draft message, and zero of more attachments included with the message, from a sending user. a pre-determined number of properties are determined from the draft message, which include information about the sending user, the recipients of the draft message, a subject and content of the draft message, and a sentiment of the draft message. the draft message properties are submitted to a pre-trained classifier model trained by supervised machine learning techniques to recommend whether a meeting held with the recipients or a delivered communication to the recipients is recommended for the draft message, and responsive to receiving a recommendation of a draft meeting with the recipients from the classifier model, presenting the recommendation of a meeting with the recipients to the sending user.
Inventor(s): Bhavna Agrawal of Armonk NY (US) for international business machines corporation, Robert Jeffrey Baseman of Brewster NY (US) for international business machines corporation, Jeffrey Owen Kephart of Cortlandt Manor NY (US) for international business machines corporation, Anuradha Bhamidipaty of Yorktown Heights NY (US) for international business machines corporation, Elham Khabiri of Briarcliff Manor NY (US) for international business machines corporation, Yingjie Li of Chappaqua NY (US) for international business machines corporation, Srideepika Jayaraman of White Plains NY (US) for international business machines corporation
IPC Code(s): H04L9/40, H04L41/16
CPC Code(s): H04L63/1425
Abstract: detecting and mitigating anomalous system behavior by providing a machine learning model comprising a knowledge graph depicting system entity relationships, and modeling behavioral correlations among system entities according to historical time-series data, receiving real-time time-series data for the system, detecting an anomalous system behavior in a system locale, according to the real-time time-series data, according to the machine learning model and multivariate sensor metrics, diagnosing the anomalous system behavior according to an upstream portion of the knowledge graph and a statistical behavior model for the system locale, and mitigating the anomalous behavior by deriving a recommended action according to the anomalous behavior and generating a work order to implement the recommended action.
Inventor(s): Arn HYNDMAN of Ottawa (CA) for international business machines corporation
IPC Code(s): H04L9/40
CPC Code(s): H04L63/20
Abstract: provided are techniques for a secure iac solution for deploying cloud resources. a signed infrastructure as code (iac) solution is received. a policy check is performed to determine that the signed iac solution conforms to one or more policies. an automated validation of the signed iac solution is performed to check for one or more compliance or security issues. a signature check of the signed iac solution is performed to determine that the signed iac solution has not been tampered with. it is determined that the signed iac solution is authorized to be deployed by checking a trusted profile. the signed iac solution is executed to deploy cloud resources.
Inventor(s): Lior Aronovich of Thornhill (CA) for international business machines corporation
IPC Code(s): H04L69/04, G06N20/00
CPC Code(s): H04L69/04
Abstract: embodiments of the invention include a processor system operable to perform processor system operations that include determining, using a server of the processor system, that a set of compressed parameters of a machine learning model includes new compressed data (ncd) and previously-generated compressed data (pgcd). the ncd includes compressed data segments that were not previously transmitted to a target device of the processor system; and the pgcd includes compressed data segments that were previously transmitted to the target device of the processor system. one or more pgcd identifiers are computed based at least in part on the pgcd. the ncd and the one or more pgcd identifiers are transmitted to the target device of the processor system.
Inventor(s): Hyman David Chantz of Scarsdale NY (US) for international business machines corporation, Robert Lynch of Bedminster NJ (US) for international business machines corporation, Elijah Swift of Poughkeepsie NY (US) for international business machines corporation
IPC Code(s): H04M7/12, H04L65/1069
CPC Code(s): H04M7/1295
Abstract: a method, system and computer program product for verifying a communication channel (e.g., radio channel) being open and usable. a query of one or more dual-tone multi-frequency signals (dtmf signals) is transmitted by a transmitting device (e.g., handheld radio device), such as a transmitting device operated by a first responder, over a communication channel (e.g., radio channel) to a receiving device (e.g., handheld radio device), such as a receiving device operated by a different first responder. such first responders utilize a “voice grade” channel (frequency range of 300 to 3,000 hz) to communicate, which is used by the transmitting device to transmit the query of one or more dtmf signals. an acknowledgement of a reception of the query of one or more dtmf signals from the receiving device is received by the transmitting device thereby verifying that the communication channel (e.g., radio channel) is open and usable.
Inventor(s): ARTHUR DE MAGALHAES of MARKHAM (CA) for international business machines corporation
IPC Code(s): H04N5/92
CPC Code(s): H04N5/9205
Abstract: provided is a method, system, and computer program product for interacting with a recording. in response to a playback by a user of a recording comprising at least one of an audio portion or a video portion, a processor may record an interaction of the user including at least one of asking a question or answering a question, during the playback to create a recorded interaction. the processor may combine the recorded interaction with a recent context of the recording of a predetermined duration as a memory aid to the user to create an augmented recording. the processor may store the augmented recording in a repository as a single playback subset to form an artifact. the processor may send a link to the artifact to a target audience of users using a predetermined method of communication associated with each respective user.
Inventor(s): Su Liu of Austin TX (US) for international business machines corporation, Zhan Peng Huo of Beijing (CN) for international business machines corporation, Hamid Majdabadi of OTTAWA (CA) for international business machines corporation, Peng Hui Jiang of Beijing (CN) for international business machines corporation
IPC Code(s): H04N21/262, H04N21/4223, H04N21/442, H04N21/45
CPC Code(s): H04N21/26241
Abstract: aspects of the present disclosure relate generally to presenting advertisements on a device and, more particularly, to managing the timing and duration for presenting advertisements in streaming video from activities detected by iot sensors. for example, a computer-implemented method includes: receiving, by a processor set, an opt-in from a user; in response to the opt-in, detecting, by the processor set and via an internet of things (iot) sensor, activities of the user watching a streaming video on a client device; determining, by the processor set, an advertisement tolerance level of the user based on the detected activities of the user watching the streaming video; determining, by the processor set, an optimal advertisement interval in the streaming video based on the advertisement tolerance level of the user; and streaming, by the processor set, advertisements during the optimal advertising interval in the streaming video on the client device.
Inventor(s): Gabriele Ranco of Udine (IT) for international business machines corporation, Corneliu Nicolae Barbulescu of Otopeni (RO) for international business machines corporation, Erik Rueger of Ockenheim (DE) for international business machines corporation, Utz Bacher of Dettenhausen (DE) for international business machines corporation
IPC Code(s): H04W64/00, G01C21/34
CPC Code(s): H04W64/003
Abstract: detecting vehicle tracking device anomaly is provided. data signals are collected via a network from a tracking device installed in a vehicle to form collected data signals. an anomaly is detected in the tracking device by applying a classification algorithm to the collected data signals.
Inventor(s): Maja Curic of Munich (DE) for international business machines corporation, Sagar Tayal of Ambala City (IN) for international business machines corporation
IPC Code(s): H04W72/50
CPC Code(s): H04W72/50
Abstract: the present disclosure relates to a method for processing baseband signals for serving a group of users in a wireless communication system. the method comprises: selecting a specific baseband unit of a set of baseband units which is different from a current baseband unit that serves a group of users. users of the group of users that fulfil a migration criterion for migration to the selected baseband unit may be identified. the identified users may be ranked according to services accorded by the wireless communication system to the identified users. the selected baseband unit may be controlled to serve, instead of the current baseband unit, the identified users following their order.
Inventor(s): Keiji Matsumoto of Yokohama-shi (JP) for international business machines corporation, Mukta Ghate Farooq of HOPEWELL JCT NY (US) for international business machines corporation, John Knickerbocker of Monroe NY (US) for international business machines corporation
IPC Code(s): H05K3/46, H05K1/02, H05K1/11, H05K3/00, H05K7/20
CPC Code(s): H05K3/4602
Abstract: a method for manufacturing an electronic package includes etching one or more lateral surfaces of a pcb laminate to expose power and ground planes of the pcb laminate. a protective coating is applied to the exposed power and ground planes. at least one heat-generating component is affixed to a top surface of the pcb laminate. a heat spreader having a base section and flanged edges is formed and attached to the heat-generating components and the pcb laminate lateral surfaces, where the flanged edges of the heat spreader are thermally connected to the pcb laminate lateral surfaces. during operation of the heat-generating components, the flanged edges dissipate heat from the pcb laminate lateral surfaces.
Inventor(s): MATTHIAS GEORG GOTTWALD of Ridgefield CT (US) for international business machines corporation, Guohan Hu of YORKTOWN HEIGHTS NY (US) for international business machines corporation, John Bruley of Poughkeepsie NY (US) for international business machines corporation, Alexander Reznicek of Troy NY (US) for international business machines corporation
IPC Code(s): H10N50/10, H10B61/00, H10N50/01, H10N50/85
CPC Code(s): H10N50/10
Abstract: a magnetic tunnel junction (mtj) stack structure includes a reference layer; a tunnel barrier; and a free layer that comprises three distinct materials. all of the three distinct materials in the free layer are magnetic material. one of the three distinct materials in the free layer is a c38 structure alloy.
Inventor(s): Matthew Beck of Danbury CT (US) for international business machines corporation, Raphael Peter Robertazzi of Ossining NY (US) for international business machines corporation, John Francis Bulzacchelli of Somers NY (US) for international business machines corporation
IPC Code(s): H10N60/12, G06N10/40, H03K19/195, H10N60/80
CPC Code(s): H10N60/12
Abstract: a system comprises a superconducting quantizing inductor and superconducting control circuitry, which is coupled to the superconducting quantizing inductor to form a superconducting loop, and which is configured to selectively inject a quantized amount of positive or negative current into the superconducting loop to generate a quantized circulating current in the superconducting loop. the quantized circulating current comprises a time-varying or static circulating current. the superconducting control circuitry comprises first and second current generator circuits which comprise a first and second plurality of josephson junctions, respectively, which are configured to inject quantized amounts of positive current and negative current into the superconducting loop in response to single flux quantum pulses. the first and second current generator circuits comprise respective first and second current distribution networks that are configured to distribute circulating current in the superconducting loop to the respective josephson junctions without causing switching of the josephson junctions.
International Business Machines Corporation patent applications on October 3rd, 2024
- International Business Machines Corporation
- B01D53/22
- B01D69/02
- B01D69/10
- B01D71/02
- CPC B01D53/226
- International business machines corporation
- B29C64/386
- B29C64/10
- B33Y10/00
- B33Y50/00
- CPC B29C64/386
- B29C64/393
- B33Y50/02
- G06Q30/012
- G06Q30/0203
- G06Q30/0601
- CPC B29C64/393
- B60W40/12
- B60W50/14
- B60W60/00
- H04W4/44
- CPC B60W40/12
- G01N33/00
- B01L3/00
- B01L7/00
- G01N1/42
- G01N1/44
- G01N11/00
- CPC G01N33/0027
- G01R31/28
- H03K3/03
- H03K3/037
- H03K19/20
- CPC G01R31/2851
- G01R31/319
- G01R31/3177
- CPC G01R31/31907
- G02F1/133
- G06T7/20
- G06V20/58
- CPC G02F1/13318
- G06F1/08
- CPC G06F1/08
- G06F1/18
- CPC G06F1/186
- G06F3/00
- G06F3/14
- G06V30/224
- CPC G06F3/005
- G06F3/04847
- G06N3/045
- G06N3/0475
- G06N3/094
- CPC G06F3/04847
- G06F3/06
- CPC G06F3/0604
- CPC G06F3/0619
- G06F5/01
- G06F18/2323
- CPC G06F5/01
- G06F8/36
- G06F8/71
- CPC G06F8/36
- G06F8/41
- G06N20/00
- CPC G06F8/427
- CPC G06F8/452
- G06F8/61
- G06F8/65
- G06F9/445
- CPC G06F8/63
- G06F8/76
- CPC G06F8/65
- G06F9/451
- G06F3/0482
- CPC G06F9/451
- G06F9/48
- G06F9/50
- CPC G06F9/4893
- CPC G06F9/5022
- B64U10/00
- H04B7/185
- H04L67/12
- CPC G06F9/505
- CPC G06F9/5077
- G06F11/07
- CPC G06F11/0775
- G06F11/30
- CPC G06F11/079
- G06F11/263
- CPC G06F11/263
- G06F11/36
- G06F11/32
- G06F11/34
- CPC G06F11/3636
- CPC G06F11/3672
- CPC G06F11/3684
- G06F40/20
- CPC G06F11/3692
- G06F12/02
- G06F12/0802
- CPC G06F12/0246
- G06F12/0862
- CPC G06F12/0862
- G06F16/11
- G06N3/084
- CPC G06F16/113
- G06F16/22
- G06F16/2457
- G06F16/25
- CPC G06F16/2282
- G06F16/2453
- G06F16/2455
- G06F16/248
- CPC G06F16/24542
- CPC G06F16/2456
- CPC G06F16/24575
- G06F16/28
- CPC G06F16/285
- CPC G06F16/288
- G06F16/31
- CPC G06F16/322
- G06F16/332
- G06F40/35
- G06F40/56
- CPC G06F16/3329
- G06F17/18
- CPC G06F17/18
- G06F21/55
- CPC G06F21/552
- G06F21/57
- CPC G06F21/577
- G06F30/20
- CPC G06F30/20
- G06F30/3312
- CPC G06F30/3312
- G06F30/3323
- G06F30/333
- CPC G06F30/3323
- CPC G06F30/333
- G06F30/367
- CPC G06F30/367
- G06F40/117
- G06F3/01
- G06F40/169
- G06F40/30
- CPC G06F40/117
- G06F40/154
- G06F16/84
- CPC G06F40/154
- G06F40/186
- G06F3/0484
- G06F40/106
- CPC G06F40/186
- G06F40/40
- CPC G06F40/20
- G06F40/157
- CPC G06F40/40
- G06F40/205
- G06F40/289
- G06N3/042
- G06N3/08
- CPC G06N3/042
- G06N3/044
- CPC G06N3/044
- G06N3/0455
- CPC G06N3/0455
- G06N5/022
- CPC G06N3/08
- G06N3/082
- G06N3/0464
- CPC G06N3/082
- G06N3/091
- CPC G06N3/091
- G06N3/092
- CPC G06N3/092
- G06N5/01
- CPC G06N5/013
- CPC G06N5/022
- G06N5/025
- CPC G06N5/025
- G06N5/04
- G06N3/02
- CPC G06N5/04
- G06N10/60
- G06N10/20
- CPC G06N10/60
- CPC G06N20/00
- G06Q10/0631
- CPC G06Q10/063112
- G10L15/18
- CPC G06Q10/063114
- G06Q10/0635
- CPC G06Q10/0635
- G06Q10/0639
- G06Q10/0633
- CPC G06Q10/06393
- G06Q10/087
- CPC G06Q10/087
- G06Q10/1093
- CPC G06Q10/1095
- G06Q30/018
- G06Q30/0202
- CPC G06Q30/018
- G06Q40/00
- CPC G06Q30/0185
- G06Q30/0251
- CPC G06Q30/0261
- G06Q30/08
- H04L65/403
- CPC G06Q30/08
- G06T19/00
- CPC G06T19/006
- G06F3/04815
- G06T19/20
- G06V40/40
- G06V10/774
- G06V40/20
- CPC G06V40/40
- G07C5/08
- CPC G07C5/0808
- G09B7/02
- CPC G09B7/02
- G10L15/16
- G10L15/02
- G10L15/06
- CPC G10L15/16
- G10L15/19
- G10L15/22
- CPC G10L15/19
- G16H20/00
- G16H40/67
- G16H50/20
- CPC G16H20/00
- G16H40/20
- G16H10/60
- CPC G16H40/20
- H01L21/768
- H01L23/532
- CPC H01L21/76843
- H01L21/822
- H01L21/8234
- H01L27/02
- H01L27/146
- H01L29/68
- CPC H01L21/8221
- H01L23/373
- CPC H01L23/3735
- H01L23/48
- CPC H01L23/481
- H01L23/522
- H01L23/528
- CPC H01L23/5226
- CPC H01L23/5286
- H01L29/06
- H01L29/40
- H01L29/417
- H01L29/423
- H01L29/66
- H01L29/775
- H01L23/538
- H01L23/00
- H01L23/31
- H01L25/065
- CPC H01L23/5384
- H01L21/56
- H01L25/00
- CPC H01L24/20
- H01L27/092
- H01L21/28
- H01L21/8238
- H01L23/535
- CPC H01L27/092
- H01L29/786
- H01L27/088
- H01L29/78
- CPC H01L29/66545
- H01M10/48
- G01R31/367
- G01R31/396
- H01M10/0525
- H01M50/204
- CPC H01M10/486
- H01M10/653
- G01R31/382
- H01M10/62
- H01M10/655
- CPC H01M10/653
- H02J50/40
- H02J3/38
- CPC H02J50/402
- H04B10/079
- CPC H04B10/07955
- H04L9/08
- CPC H04L9/0891
- H04L12/18
- CPC H04L12/1818
- H04L41/5009
- H04L41/14
- H04L41/5025
- CPC H04L41/5009
- H04L45/00
- H04L45/24
- H04L45/64
- CPC H04L45/34
- H04L51/02
- CPC H04L51/02
- H04L51/063
- G06Q10/107
- H04L51/214
- H04L51/234
- CPC H04L51/063
- H04L9/40
- H04L41/16
- CPC H04L63/1425
- CPC H04L63/20
- H04L69/04
- CPC H04L69/04
- H04M7/12
- H04L65/1069
- CPC H04M7/1295
- H04N5/92
- CPC H04N5/9205
- H04N21/262
- H04N21/4223
- H04N21/442
- H04N21/45
- CPC H04N21/26241
- H04W64/00
- G01C21/34
- CPC H04W64/003
- H04W72/50
- CPC H04W72/50
- H05K3/46
- H05K1/02
- H05K1/11
- H05K3/00
- H05K7/20
- CPC H05K3/4602
- H10N50/10
- H10B61/00
- H10N50/01
- H10N50/85
- CPC H10N50/10
- H10N60/12
- G06N10/40
- H03K19/195
- H10N60/80
- CPC H10N60/12
