International Business Machines Corporation patent applications on July 25th, 2024
Patent Applications by International Business Machines Corporation on July 25th, 2024
International Business Machines Corporation: 34 patent applications
International Business Machines Corporation has applied for patents in the areas of G06N20/00 (3), G10L15/22 (2), G06F16/332 (2), G06F11/36 (2), G10L15/26 (2) G06N20/00 (2), G06F16/3329 (2), G01N21/11 (1), G06N3/098 (1), H04L63/1466 (1)
With keywords such as: data, user, based, computer, response, include, error, further, embodiment, and determining in patent application abstracts.
Patent Applications by International Business Machines Corporation
Inventor(s): Vince Siu of Ontario (CA) for international business machines corporation, Bing Dang of Chappaqua NY (US) for international business machines corporation, Bo Wen of New York NY (US) for international business machines corporation, Kuan Yu Hsieh of Changhua (TW) for international business machines corporation
IPC Code(s): G01N21/11, G01N1/38, G01N21/03, G01N21/25
CPC Code(s): G01N21/11
Abstract: a liquid metering and mixing system for preparing a plurality of samples for analysis. the system includes: a liquid metering apparatus disposed in fluid communication with a sample holder and a plurality of reaction chambers and configured to meter a volume of a liquid into each of the plurality of reaction chambers, wherein each of the plurality of reaction chambers includes a reagent; and a mixing apparatus comprising a plurality of mixing elements, wherein each of the plurality of mixing elements is disposed in a corresponding reaction chamber of the plurality of reaction chambers and is adapted to mix the volume of the liquid with the reagent in preparation for analysis
Inventor(s): Jennifer M. Hatfield of San Francisco CA (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): G05B13/02, B25J9/16
CPC Code(s): G05B13/0265
Abstract: described are techniques for optimizing collaborative work performed by robotic machines in an industrial environment. the techniques include obtaining industrial activity data comprising steps of industrial activities performed by robotic machines on an industrial floor. the techniques further include obtaining robotic machine data comprising configuration information of the robotic machines associated with performing the steps of the industrial activities. the techniques further include inputting the industrial activity data and the robotic machine data to a machine learning model to analyze the steps of the industrial activities in view of the configuration information of the robotic machines to generate a production plan that aggregates performance of selected steps by the robotic machines, and configuring the robotic machines on the industrial floor according to the production plan generated by the machine learning model.
Inventor(s): Uri Kartoun of Cambridge MA (US) for international business machines corporation, Chaitanya Rao Challa of Chelmsford MA (US) for international business machines corporation, Shajeer K. Mohammed of Bangalore (IN) for international business machines corporation, Tiberiu Suto of Franklin NY (US) for international business machines corporation
IPC Code(s): G06F3/12
CPC Code(s): G06F3/1222
Abstract: a computer-implemented method limits access to printed documents that include confidential data. the method includes receiving, by a print server, a request to print a first document, where the request is received from a user account associated with a user and the first document includes confidential information. the method also includes adding the first document in a print queue for a printer. the method further includes identifying a location of the user. the method includes determining, in response to the identifying the location of the user, the user is within a predetermined distance of the printer. the method also includes allowing, in response to the determining, the first printing device to print the first document. the method further includes printing the first document.
Inventor(s): Kelley Anders of East New Market MD (US) for international business machines corporation, Johnny Shieh of Austin TX (US) for international business machines corporation, Jessica Murillo of Round Rock TX (US) for international business machines corporation
IPC Code(s): G06F3/16, G06F3/01, G10L15/22, G10L15/26, H04L65/1089
CPC Code(s): G06F3/165
Abstract: according to one embodiment, a method, computer system, and computer program product for muted participant replay is provided. the embodiment may include, in response to determining a user is muted while speaking to one or more other participants of a web conference, capturing a recording of audio received by a microphone associated with the user. the embodiment may also include presenting a notification to the user conveying the user is on mute while presenting to the one or more other participants, where the notification includes two or more prompts which require a user response. the embodiment may further include receiving the user response to each prompt. the embodiment may also include, in response to receiving user responses to unmute and play the recording, unmuting an audio feed from the user to the one or more other participants and playing the recording for the one or more other participants.
Inventor(s): William Gerald O'Farrell of Markham (CA) for international business machines corporation, Fateh Hyder of Ottawa (CA) for international business machines corporation, Dustin Donald Ward of Lethbridge (CA) for international business machines corporation, Mackenzie David Malainey of St. Albert (CA) for international business machines corporation
IPC Code(s): G06F8/41, G06F8/30
CPC Code(s): G06F8/427
Abstract: techniques are described with regard to programming language adaptation to a target operating system platform. an associated method includes receiving at least one build parsing error consequent to compiling at least one current programming language package on the target operating system platform. responsive to determining that there is no special override porting module corresponding to the at least one current programming language package, the method further includes porting the at least one current programming language package to the target operating system platform automatically by addressing at least one undefined symbol among the at least one build parsing error. responsive to determining that there is at least one special override porting module corresponding to the at least one current programming language package, the method further includes porting the at least one current programming language package to the target operating system platform according to the at least one special override porting module.
Inventor(s): MARTIN HICKEY of Cork (IE) for international business machines corporation, Eugene Michael Maximilien of San Jose CA (US) for international business machines corporation
IPC Code(s): G06F8/61, G06F8/71
CPC Code(s): G06F8/61
Abstract: computer technology for optimizing operator configuration for deployment of an application in a container orchestration cluster. the computer technology includes machine logic for performing the following operations: collecting historical data for deployment data including operator configurations, cluster configurations, and behavior data. the method models the deployment data using embedded matrix models; and applies collaborative filtering to process the modeled data to map user requirements for a target deployment to deployment configurations of previous successful deployments; to output one or more predicted deployment configurations as a reference for the target deployment.
Inventor(s): Shimin Cui of North York (CA) for international business machines corporation, Wai Hung Tsang of Markham (CA) for international business machines corporation, Hubert Shun Kwan Tong of Scarborough (CA) for international business machines corporation, Zarko Todorovski of Ajax (CA) for international business machines corporation
IPC Code(s): G06F9/30, G06F9/32
CPC Code(s): G06F9/30043
Abstract: predictive dead store elimination is provided. the method comprises identifying, in a program, a first store operation and a second store operation in a program loop that comprise a store pair with a same loop-invariant base address and determining whether the store pair is a predictive dead store elimination candidate. responsive to a determination that the store pair is a predictive dead store elimination candidate, the method eliminates the first store operation in each iteration of the program loop, except the last dsrc (dead store recurrence constant) iterations and sinks the first store operation in the last dsrc iterations to after the program loop.
20240248767. RESOURCE SHARING_simplified_abstract_(international business machines corporation)
Inventor(s): Ting Liang of Beijing (CN) for international business machines corporation, Zhi Gang Sun of Beijing (CN) for international business machines corporation, Xin Peng Liu of Beijing (CN) for international business machines corporation, Chun Li Jia of Beijing (CN) for international business machines corporation
IPC Code(s): G06F9/50, G06F9/54
CPC Code(s): G06F9/505
Abstract: disclosed are techniques for resource sharing. resource sharing information comprising resource metadata for a shared resource of a sharer can be stored by one or more processing units. a virtual link can be generated by one or more processing units based on the resource metadata. the virtual link can be transmitted to one or more sharees by one or more processing units based on the resource metadata. the resource metadata can be updated by one or more processing units.
Inventor(s): Mudit VERMA of NEW DELHI (IN) for international business machines corporation, Pooja AGGARWAL of Bengaluru (IN) for international business machines corporation, Padmanabha Venkatagiri SESHADRI of Mysore (IN) for international business machines corporation, Rama Kalyani T. AKKIRAJU of CUPERTINO CA (US) for international business machines corporation
IPC Code(s): G06F11/07, G06N5/022
CPC Code(s): G06F11/0793
Abstract: methods, computer program products, and systems are presented. the method computer program products, and systems can include, for instance: iteratively examining logging data; detecting multiple faults in a computer environment in dependence on the examining of the logging data; generating for respective ones of the detected multiple faults one or more candidate remediation to provide a set of candidate remediations for the computer environment; prioritizing remediations defining the set of candidate remediations from the generating and ordering the remediations in a remediation queue according to an order of the prioritizing; and deploying remediations according to the ordering of remediations in the remediation queue.
Inventor(s): Dinesh C. Verma of New Castle NY (US) for international business machines corporation, SATISHKUMAR SADAGOPAN of Leawood KS (US) for international business machines corporation, Gerald Coon of Durham NC (US) for international business machines corporation, MUDHAKAR SRIVATSA of White Plains NY (US) for international business machines corporation
IPC Code(s): G06F11/36, G06F11/34
CPC Code(s): G06F11/366
Abstract: computer-implemented methods for repairing a software of a computing system are provided. aspects include receiving a request to diagnose the software, the software including a plurality of software components configured to communicate with each other via application programing interfaces and creating a representation of the software in a virtual reality environment. aspects also include identifying an error in the software based on error logs generated by the software and identifying one or more of the plurality of software components and the application programing interfaces that correspond to the error. aspects further include displaying a visual indication of the error in the virtual reality environment, wherein the visual indication is determined based on a type of the error, receiving, via the virtual reality environment, a corrective action from a user, and performing a task in the software based on the corrective action, wherein the task is configured to address the error.
Inventor(s): Jeremy R. Fox of Georgetown TX (US) for international business machines corporation, Jessica Nahulan of Markham (CA) for international business machines corporation, Tiberiu Suto of Franklin NY (US) for international business machines corporation, Carolina Garcia Delgado of Zapopan (MX) for international business machines corporation
IPC Code(s): G06F11/36
CPC Code(s): G06F11/3664
Abstract: resolving software errors is provided. it is detected that an error has occurred. it is determined whether the error had previously occurred. in response to determining that the error had previously occurred, it is determined whether one or more solutions were found during a search that successfully fixed the error. in response to determining that one or more solutions were found during the search that successfully fixed the error, a list of solutions that successfully fixed the error is generated.
Inventor(s): Gang Lyu of Shanghai (CN) for international business machines corporation, Yao Dong Zhang of Shanghai (CN) for international business machines corporation, Dong Ping Song of Xian (CN) for international business machines corporation, Geng Hu of Xian (CN) for international business machines corporation, Wei Xian of Xian (CN) for international business machines corporation, Ke Qiang Chen of Beijing (CN) for international business machines corporation
IPC Code(s): G06F12/0817, G06F12/0804, G06F12/0871
CPC Code(s): G06F12/0822
Abstract: a computer-implemented method, according to one embodiment, includes obtaining information about a plurality of remote storage systems. each of the remote storage systems includes a cache. the method further includes generating a routing table based on the information, the routing table indicating potential write data migration paths from a cache of a local storage system to the caches of the remote storage systems. a write data migration plan is generated based on the routing table. the write data migration plan specifies which of the caches of the remote storage systems to migrate at least some write data originally intended to be stored on the cache of the local storage system to. in response to a determination that a first predetermined condition associated with the cache of the local storage system is met, the method includes causing the write data migration plan to be performed.
20240248885. GENERATING SCHEMA_simplified_abstract_(international business machines corporation)
Inventor(s): Matthew James Clarke of Newbury (GB) for international business machines corporation, Vlad Balanescu of Southampton (GB) for international business machines corporation, Matthew Paul Chapman of Eastleigh (GB) for international business machines corporation, THOMAS LI of Winchester (GB) for international business machines corporation
IPC Code(s): G06F16/21, G06F16/25
CPC Code(s): G06F16/213
Abstract: embodiments of the present invention provide concepts for a method for generating a schema describing a first node for performing mapping tasks. the method comprises obtaining an output schema for the first node. the method further comprises extracting, from the output schema, configuration data for the first node, wherein the configuration data includes an object and an action associated with the first node. the method further comprises analyzing a dataset of historical mappings to identify previous mappings that reference the object, or the action associated with the first node. the method further comprises generating a modified output schema describing the first node based, at least in part, on the identified previous mappings and the output schema, wherein the modified output schema is devoid of at least one portion of output schema.
Inventor(s): Srini Bhagavan of Dublin CA (US) for international business machines corporation, Prasanna Alur Mathada of Bangalore (IN) for international business machines corporation, Shwetha Gopalakrishna of BANAGALORE (IN) for international business machines corporation, Hrishikesh Sujaya Kumar of Bangalore (IN) for international business machines corporation
IPC Code(s): G06F16/332, G06F40/40
CPC Code(s): G06F16/3329
Abstract: systems and methods are provided to generate context-based questions from communications data. in embodiments, a method includes: determining, by a processor set, context of text under study obtained from digital communications data; generating, by the processor set, a text-based summary of the text under study using a natural language processing (nlp) tool to eliminate text from the text under study based on keywords of a dynamic knowledge base; constructing, by the processor set, a question phrase in sentence form based statements in the text under study, wherein the one or more statements constitute an answer to the question phrase; outputting, by the processor set, a question and answer set including the question phrase and the statements; and automatically updating, by the processor set, the dynamic knowledge base based on the question and answer set, thereby generating an updated dynamic knowledge base.
Inventor(s): Mu Qiao of Belmont CA (US) for international business machines corporation, Tongtong Liu of San Jose CA (US) for international business machines corporation, Divyesh Jadav of San Jose CA (US) for international business machines corporation
IPC Code(s): G06F16/332, G06F16/35, G06N3/045, G06N3/0475, G06N3/09
CPC Code(s): G06F16/3329
Abstract: systems and techniques that facilitate empathetic or emotional query response are provided. for example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. the system can also comprise a processor, operably coupled to the memory that can execute the computer executable components stored in memory. the computer executable components can comprise a first machine learning model that generates a first response portion, wherein the first response portion comprises a technical response to the input query, and a second machine learning model that generates a second response portion, wherein the second response portion comprises an empathetic or emotional response to the emotion portion of the input query.
Inventor(s): Ryan Michael Sparks of Tulsa OK (US) for international business machines corporation, Jean Pommier of San Jose CA (US) for international business machines corporation, Greg Pollack of Daytona Beach FL (US) for international business machines corporation, Zachary A. Silverstein of Austin TX (US) for international business machines corporation
IPC Code(s): G06F21/62, G06F16/2457
CPC Code(s): G06F21/6227
Abstract: an example operation may include one or more of receiving a request to modify a software artifact stored on a host platform, querying a database based on a user identifier associated with the request to retrieve historical communications of a user from the database, executing an artificial intelligence (ai) model based on the historical communications to determine whether the user is authorized to modify the software artifact, and in response to the determination, preventing the request to modify the software artifact from being performed to the software artifact on the host platform.
Inventor(s): Ambrish Rawat of Dublin (IE) for international business machines corporation, Naoise Holohan of Maynooth (IE) for international business machines corporation, Heiko H. Ludwig of San Francisco CA (US) for international business machines corporation, Ehsan Degan of Rancho Santa Margarita CA (US) for international business machines corporation, Nathalie Baracaldo Angel of San Jose CA (US) for international business machines corporation, Alan Jonathan King of South Salem NY (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, Keith Coleman Houck of Rye NY (US) for international business machines corporation, Mark Purcell of Naas (IE) for international business machines corporation, Giulio Zizzo of Dublin (IE) for international business machines corporation, Nir Drucker of Zichron Yaakov (IL) for international business machines corporation, Hayim Shaul of Kfar Saba (IL) for international business machines corporation, Eyal Kushnir of Kfar Vradim (IL) for international business machines corporation, Lam Minh Nguyen of Ossining NY (US) for international business machines corporation
IPC Code(s): G06F21/62
CPC Code(s): G06F21/6245
Abstract: one or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process for privacy-enhanced machine learning and inference. 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 processing component that generates an access rule that modifies access to first data of a graph database, wherein the first data comprises first party information identified as private, a sampling component that executes a random walk for sampling a first graph of the graph database while employing the access rule, wherein the first graph comprises the first data, and an inference component that, based on the sampling, generates a prediction in response to a query, wherein the inference component avoids directly exposing the first party information in the prediction.
Inventor(s): Shriti Priya of WHITE PLAINS NY (US) for international business machines corporation, Julian James Stephen of Yorktown Heights NY (US) for international business machines corporation, Arjun Natarajan of Old Tappan NJ (US) for international business machines corporation
IPC Code(s): G06N3/063, G06Q30/04
CPC Code(s): G06N3/063
Abstract: described are techniques for coalescing duplicative representations of entities in knowledge graphs. the techniques include unifying a first representation of a first entity with a second representation of the first entity in a knowledge graph of a cloud environment based on the first representation and the second representation sharing a predefined configuration of attributes. the techniques further include unifying a third representation of a second entity with a fourth representation of the second entity in the knowledge graph based on a temporal activity signature of the third representation being matched to the fourth representation by a long-short term memory (lstm) network model. the techniques further include outputting the knowledge graph with a first unified representation of the first entity based on the first representation and the second representation and a second unified representation of the second entity based on the third representation and the fourth representation.
Inventor(s): Swanand Ravindra Kadhe of San Jose CA (US) for international business machines corporation, Heiko H. Ludwig of San Francisco CA (US) for international business machines corporation, Nathalie Baracaldo Angel of San Jose CA (US) for international business machines corporation, Yi Zhou of San Jose CA (US) for international business machines corporation, Alan Jonathan King of South Salem NY (US) for international business machines corporation, Keith Coleman Houck of Rye NY (US) for international business machines corporation, Ambrish Rawat of Dublin (IE) for international business machines corporation, Mark Purcell of Naas (IE) for international business machines corporation, Naoise Holohan of Maynooth (IE) for international business machines corporation, Mikio Takeuchi of Yokohama (JP) for international business machines corporation, Ryo Kawahara of Toshima-Ward (JP) for international business machines corporation, Nir Drucker of Zichron Yaakov (IL) for international business machines corporation, Hayim Shaul of Kfar Saba (IL) for international business machines corporation
IPC Code(s): G06N3/098, G06N5/04
CPC Code(s): G06N3/098
Abstract: systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to federated training and inferencing. 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 modeling component that trains an inferential model using data from a plurality of parties and comprising horizontally partitioned data and vertically partitioned data, wherein the modeling component employs a random decision tree comprising the data to train the inferential model, and an inference component that responds to a query, employing the inferential model, by generating an inference, wherein first party private data, of the data, originating from a first passive party of the plurality of parties, is not directly shared with other passive parties of the plurality of parties to generate the inference.
Inventor(s): Soumyadip Ghosh of Peekskill NY (US) for international business machines corporation, Yingdong Lu of Yorktown Heights NY (US) for international business machines corporation, Tomasz J. Nowicki of Fort Montgomery NY (US) for international business machines corporation
IPC Code(s): G06N7/01
CPC Code(s): G06N7/01
Abstract: a method of bayesian variational inference using asymmetric hamiltonian monte carlo includes gathering a number of data samples for a hamiltonian monte carlo computation and instantiating an auxiliary distribution on the data samples, the auxiliary distribution being asymmetric. a hamiltonian monte carlo computation is performed with the auxiliary distribution and the plurality of data samples. upon determining that a metric of the computation outcome does not meet a target metric criterion that is based on a target distribution, the auxiliary distribution is adapted to an output of the computation and the hamiltonian monte carlo computation is re-executed with the adapted auxiliary distribution. a report is generated in response to determining that the target metric is well estimated.
Inventor(s): Aaron K. Baughman of Research Triangle Park NC (US) for international business machines corporation, Nicholas Michael Wilkin of Seattle WA (US) for international business machines corporation, Eris Opal Rashon Calhoun of Atlanta GA (US) for international business machines corporation, Gray Franklin Cannon of Atlanta GA (US) for international business machines corporation
IPC Code(s): G06N20/00, G06F40/10, G06F40/279
CPC Code(s): G06N20/00
Abstract: methods, systems, and computer program products for automated text generation using artificial intelligence techniques are provided herein. a computer-implemented method includes simulating, using artificial intelligence techniques, at least one textual description of at least one event related to an input event; identifying historical text sources related to the input event based on processing the at least one simulated textual description; identifying content related to argument theses from at least a portion of the historical text sources; determining at least one measure of alignment between at least a portion of the at least one simulated textual description and at least a portion of the content related to argument theses; and automatically generating text describing the input event based on the at least one measure of alignment.
Inventor(s): Manish Anand Bhide of Hyderabad (IN) for international business machines corporation, Ravi Chandra Chamarthy of Hyderabad (IN) for international business machines corporation, Trent A. Gray-Donald of Ottawa (CA) for international business machines corporation, Remus Lazar of Morgan Hill CA (US) for international business machines corporation
IPC Code(s): G06N20/00
CPC Code(s): G06N20/00
Abstract: provided are techniques for correcting a classification model. for each original record of a plurality of original records that are processed by a classification model: the original record is perturbed; for the original record, an original confidence value is obtained for each class of a plurality of classes; for the perturbed record, a perturbed confidence value is obtained for each class of the plurality of classes; a final confidence value is determined using each original confidence value, each perturbed confidence value, and a direction of distance travelled; and a determination is made of whether the original record is biased based on the final confidence value. then, it is determined whether the classification model is biased based on the original records that are determined to be biased. in response to determining that the classification model is biased, the classification model is corrected, otherwise, the classification model is deployed.
Inventor(s): Tushar Agrawal of West Fargo ND (US) for international business machines corporation, Su Liu of Austin TX (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, Atul Mene of Morrisville NC (US) for international business machines corporation
IPC Code(s): G06Q10/0631
CPC Code(s): G06Q10/063112
Abstract: a computer-implemented method, a computer system and a computer program product optimize a hybrid workforce to complete tasks in an environment. the method includes identifying a task to be completed by the hybrid workforce in the environment, where the hybrid workforce includes both humans and robots. the method also includes classifying the task according to suitability for human completion or robot completion. the method further includes obtaining a profile for each worker in the hybrid workforce and determining a capability of each human and each robot to perform the task from the profile. in addition, the method includes associating the task with a robot having the highest capability when the task is suitable for robot completion. lastly, the method includes displaying an assignment of the task on a device associated with the environment, where the assignment includes a classification of the task and an association with the hybrid workforce.
Inventor(s): Tushar Agrawal of West Fargo ND (US) for international business machines corporation, Jeremy R. Fox of Georgetown TX (US) for international business machines corporation, Uri Kartoun of Cambridge MA (US) for international business machines corporation, Sarbajit K. Rakshit of Kolkata (IN) for international business machines corporation
IPC Code(s): G06Q10/087, G06Q10/083, G06Q30/0201
CPC Code(s): G06Q10/087
Abstract: according to an embodiment, shipment splitting and variable delivery is provided. the embodiment may include identifying a consumption rate of a user for an item. the embodiment may also include identifying one or more future user locations. the embodiment may further include calculating a consumption quantity of the item at each location based on the identified consumption rate. the embodiment may also include calculating a usage time and date at which each calculated quantity is needed by a user at each location. the embodiment may further include calculating a shipment time for each quantity to be received at each location by each calculated usage time and date. the embodiment may also include performing one or more shipments, at each calculated shipment time, of packages, each containing a quantity of the item based on each calculated consumption quantity, to each location corresponding to each calculated consumption quantity.
Inventor(s): Gandhi Sivakumar of Bentleigh (AU) for international business machines corporation, Nikhil Sai Krishna Jonnavithula of Visakhapatnam (IN) for international business machines corporation, Prasanth Gelli of Vijayawada (IN) for international business machines corporation
IPC Code(s): G06V10/776, G06N20/00
CPC Code(s): G06V10/776
Abstract: computer-implemented methods for identifying anomalies in a trained prediction model are provided. aspects include receiving an input data set and obtaining a prediction from the trained prediction model based on the input data set. aspects also include receiving, from a subject matter expert, a determination that the prediction is a false positive and creating a false positive contour based on the input data set. aspects further include adding the false positive contour to a false positive feature space for the trained prediction model.
Inventor(s): Xiao Xia Mao of Shanghai (CN) for international business machines corporation, Wei Jun Zheng of Shanghai (CN) for international business machines corporation, Chun Hong Zheng of Beijing (CN) for international business machines corporation, Fu Er Liu of Shanghai (CN) for international business machines corporation, Danlei Zhang of Shanghai (CN) for international business machines corporation, Xiao Feng Ji of Shanghai (CN) for international business machines corporation
IPC Code(s): G10L15/22, G10L15/06, G10L15/26
CPC Code(s): G10L15/22
Abstract: a machine learning (ml) computer model is trained on a dual-modal input sequence comprising target content data and an input user query specifying attributes for locating a portion within the target content data. the ml computer model is trained to process the dual-modal input sequence and output an output text specifying start and end indices, within the target content data, corresponding to the portion. runtime content data, and a user spoken query, are received and the runtime content data and user spoken query are processed via the trained ml computer model to generate an output text specifying a predicted beginning index and predicted ending index within the runtime content data. the portion of the runtime content data corresponding to a range of runtime content data bounded by the beginning index and ending index, inclusively, is retrieved and stored for later retrieval and processing.
Inventor(s): Tsuyoshi Miyamura of Yokohama-shi (JP) for international business machines corporation, Setsuko Masuda of Toshima-ku (JP) for international business machines corporation, Tatsuki Sawada of Matsudo (JP) for international business machines corporation
IPC Code(s): G11B23/50, G11B5/008, G11B15/05, G11B20/18
CPC Code(s): G11B23/502
Abstract: in one general embodiment, an apparatus includes a magnetic head, and a controller coupled to the magnetic head, the controller being configured to perform a method that includes measuring humidity in a vicinity of the apparatus in response to detection of an error while performing a data operation on a magnetic recording tape. an error recovery procedure to remove debris on the tape is executed in response to detection of an error and the measured humidity exceeding a predefined upper limit value. an error recovery procedure to remove debris adhering to the magnetic head is executed in response to detection of an error and the measured humidity being below a predefined lower limit value.
Inventor(s): Kyu-hyoun Kim of Chappaqua NY (US) for international business machines corporation, Arvind Kumar of Stamford CT (US) for international business machines corporation, Joshua M. Rubin of Albany NY (US) for international business machines corporation, John W. Golz of Hopewell Junction NY (US) for international business machines corporation, Mounir Meghelli of Tarrytown NY (US) for international business machines corporation
IPC Code(s): H01L25/065, H01L23/00, H01L23/528, H01L23/60, H01L27/02, H10B80/00
CPC Code(s): H01L25/0657
Abstract: embodiments of the present invention are directed to processing methods and resulting structures for three-dimensional integrated circuits (3d ics) having facilitator dies in a hierarchical configuration. in a non-limiting embodiment, a method includes forming a plurality of stacked dies. the plurality of stacked dies includes a bottom die having a first die type, a plurality of upper dies having a second die type different than the first die type, and a facilitator die having a third die type different than the first die type and the second die type. at least one of a signal connection and a power distribution line are formed hierarchically between the bottom die, the plurality of upper dies, and the facilitator die.
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, Lawrence A. Clevenger of Saratoga Springs NY (US) for international business machines corporation, Brent A. Anderson of Jericho VT (US) for international business machines corporation, Nicholas Anthony Lanzillo of Wynantskill NY (US) for international business machines corporation, Reinaldo Vega of Mahopac NY (US) for international business machines corporation
IPC Code(s): H01L29/417, H01L23/528, H01L27/088, H01L29/06, H01L29/40, H01L29/423, H01L29/775
CPC Code(s): H01L29/4175
Abstract: a semiconductor structure is presented including backside contacts with jumpers and frontside back-end-of-line (beol) components electrically connected to the backside contacts by one or more deep via contacts. the jumpers electrically connect a plurality of source/drain (s/d) regions. at least one of the backside contacts is electrically connected to a backside power rail. at least one of the backside contacts has a first height and at least one of the backside contacts has a second height, where the second height is greater than the first height.
Inventor(s): Logan Bailey of Atlanta GA (US) for international business machines corporation, Zachary A. Silverstein of Georgetown TX (US) for international business machines corporation, Melanie Dauber of Oceanside NY (US) for international business machines corporation, Jeremy R. Fox of Georgetown TX (US) for international business machines corporation, Jacob Ryan Jepperson of St. Paul MN (US) for international business machines corporation
IPC Code(s): H04L9/32
CPC Code(s): H04L9/3247
Abstract: a processor identify that a parcel is within a predetermined proximity of a location. the processor may remotely trigger a transfer of signature data associated with the signature. the transfer of the signature data may be from a camera via proximity-based device, and the proximity-based device may be programmed with the predetermined proximity. the processor may allow release of the parcel.
Inventor(s): Su Liu of Austin TX (US) for international business machines corporation, Adinarayana Haridas of Hyderabad (IN) for international business machines corporation, Hamid Majdabadi of Ottowa (CA) for international business machines corporation, Jun Su of Beijing (CN) for international business machines corporation, Peng Hui Jiang of Beijing (CN) for international business machines corporation
IPC Code(s): H04L12/18, G06T11/20
CPC Code(s): H04L12/1822
Abstract: aspects of the present disclosure relate to data visualization in web conferences. type-related information of a web conference can be acquired. a conference type of the web conference can be identified based on the acquired type-related information of the web conference and type templates stored in a type repository. a visualization format from a plurality of visualization formats stored in a format repository can be determined based on the identified conference type. key information required by the determined visualization format can be extracted from raw data of the web conference. visual data within the determined visual format can be created by populating the extracted key information into the determined visualization format.
Inventor(s): Paul Llamas Virgen of Guadalajara (MX) for international business machines corporation, Priyansh Jaiswal of Boca Raton FL (US) for international business machines corporation, Peeyush Jaiswal of Boca Raton FL (US) for international business machines corporation
IPC Code(s): H04L9/40
CPC Code(s): H04L63/105
Abstract: a computer-implemented method, according to one embodiment, includes determining whether a first user, the first user being associated with a first virtual security zone that includes a first group of security policies, has a need for a first security policy included in a second virtual security zone associated with a second user. in response to a determination that the first user has a need for the first security policy included in the second virtual security zone, a determination is made as to whether the first user is authorized to at least temporarily inherit the first security policy from the second virtual security zone. the method further includes causing the first security policy to be inherited by the first virtual security zone from the second virtual security zone in response to a determination that the first user is authorized to at least temporarily inherit the first security policy.
Inventor(s): Marco Simioni of Dublin (IE) for international business machines corporation, Stefano Braghin of Dublin (IE) for international business machines corporation, Mark Purcell of Naas (IE) for international business machines corporation, Killian Levacher of Dublin (IE) for international business machines corporation
IPC Code(s): H04L9/40
CPC Code(s): H04L63/1466
Abstract: protection against prying devices on a computer network is provided. the method comprises identifying a number of prying devices connected to the computer network, wherein the prying devices have the capability to record audio and/or video data, and wherein the prying devices have the potential to eavesdrop on an audio/video conference call. responsive to detecting initiation of the audio/video conference call, the prying devices are prevented from communicating over the computer network. responsive to detecting termination of the audio/video conference call, the prying devices are allowed to resume communication over the computer network.
Inventor(s): Sooraj Sukumar of Palakkad (IN) for international business machines corporation, Shailendra Moyal of Pune (IN) for international business machines corporation, Sarbajit K. Rakshit of Kolkata (IN) for international business machines corporation
IPC Code(s): H04N13/139, H04L65/752, H04N13/167, H04N13/383
CPC Code(s): H04N13/139
Abstract: a computer-implemented method, according to one embodiment, includes monitoring eye movement of a user while the user navigates a volumetric video displayed on a user device, and comparing an internet bandwidth associated with the user device to a threshold. in response to a determination that the internet bandwidth is less than the threshold, the method includes determining, for first objects in a first view of the volumetric video, first portions of the first objects that are not visible in the first view and second portions of the first objects that are visible in the first view, and not downloading the first portions. furthermore, in response to the determination, the method includes causing the second portions to be downloaded, determining levels of resolution, and causing the second portions, each having a respective one of the determined levels of resolution, to be incorporated into the volumetric video.
International Business Machines Corporation patent applications on July 25th, 2024
- International Business Machines Corporation
- G01N21/11
- G01N1/38
- G01N21/03
- G01N21/25
- CPC G01N21/11
- International business machines corporation
- G05B13/02
- B25J9/16
- CPC G05B13/0265
- G06F3/12
- CPC G06F3/1222
- G06F3/16
- G06F3/01
- G10L15/22
- G10L15/26
- H04L65/1089
- CPC G06F3/165
- G06F8/41
- G06F8/30
- CPC G06F8/427
- G06F8/61
- G06F8/71
- CPC G06F8/61
- G06F9/30
- G06F9/32
- CPC G06F9/30043
- G06F9/50
- G06F9/54
- CPC G06F9/505
- G06F11/07
- G06N5/022
- CPC G06F11/0793
- G06F11/36
- G06F11/34
- CPC G06F11/366
- CPC G06F11/3664
- G06F12/0817
- G06F12/0804
- G06F12/0871
- CPC G06F12/0822
- G06F16/21
- G06F16/25
- CPC G06F16/213
- G06F16/332
- G06F40/40
- CPC G06F16/3329
- G06F16/35
- G06N3/045
- G06N3/0475
- G06N3/09
- G06F21/62
- G06F16/2457
- CPC G06F21/6227
- CPC G06F21/6245
- G06N3/063
- G06Q30/04
- CPC G06N3/063
- G06N3/098
- G06N5/04
- CPC G06N3/098
- G06N7/01
- CPC G06N7/01
- G06N20/00
- G06F40/10
- G06F40/279
- CPC G06N20/00
- G06Q10/0631
- CPC G06Q10/063112
- G06Q10/087
- G06Q10/083
- G06Q30/0201
- CPC G06Q10/087
- G06V10/776
- CPC G06V10/776
- G10L15/06
- CPC G10L15/22
- G11B23/50
- G11B5/008
- G11B15/05
- G11B20/18
- CPC G11B23/502
- H01L25/065
- H01L23/00
- H01L23/528
- H01L23/60
- H01L27/02
- H10B80/00
- CPC H01L25/0657
- H01L29/417
- H01L27/088
- H01L29/06
- H01L29/40
- H01L29/423
- H01L29/775
- CPC H01L29/4175
- H04L9/32
- CPC H04L9/3247
- H04L12/18
- G06T11/20
- CPC H04L12/1822
- H04L9/40
- CPC H04L63/105
- CPC H04L63/1466
- H04N13/139
- H04L65/752
- H04N13/167
- H04N13/383
- CPC H04N13/139
