Microsoft Technology Licensing, LLC patent applications on April 24th, 2025
Patent Applications by Microsoft Technology Licensing, LLC on April 24th, 2025
Microsoft Technology Licensing, LLC: 23 patent applications
Microsoft Technology Licensing, LLC has applied for patents in the areas of G06F3/0482 (2), G06F40/20 (2), G06N20/00 (2), F16C11/04 (1), G06Q10/10 (1) F16C11/04 (1), G06N5/02 (1), H04N19/103 (1), H04L67/535 (1), H04L51/063 (1)
With keywords such as: user, device, power, based, data, email, content, systems, service, and image in patent application abstracts.
Patent Applications by Microsoft Technology Licensing, LLC
20250129815. Anti-Lock Hinged Device_simplified_abstract_(microsoft technology licensing, llc)
Inventor(s): Devin CAPLOW-MUNRO of Seattle WA US for microsoft technology licensing, llc, Denys V. YAREMENKO of Carnation WA US for microsoft technology licensing, llc, Brett A. TOMKY of Seattle WA US for microsoft technology licensing, llc, Daniel C. PARK of Woodinville WA US for microsoft technology licensing, llc, Karsten AAGAARD of Monroe WA US for microsoft technology licensing, llc
IPC Code(s): F16C11/04, H05K5/02
CPC Code(s): F16C11/04
Abstract: the description relates to hinged devices. one example can include a spine defining inner and outer arced surfaces and a hinge arm positioned between the inner and outer arced surfaces and configured to arcuately move from a retracted position to a fully extended position. the example includes an anti-lock link captured between the spine and the hinge arm to move along an arc. rotation of the hinge arm to the fully extended position is configured to rotate the anti-lock link along the arc and partially out of the spine until the anti-lock link contacts the spine and blocks further extension of the hinge arm. reverse rotation of the hinge arm from the fully extended position toward the retracted position is configured to initially cause the hinge arm to contact the anti-lock link and not the outer arced surface.
Inventor(s): Ugan SIVAGNANENTHIRARAJAH of Seattle WA US for microsoft technology licensing, llc, Michael Jeffrey AJAX of Redmond WA US for microsoft technology licensing, llc, Sathyanarayanan KARIVARADASWAMY of Sammamish WA US for microsoft technology licensing, llc, Robert Eugene HARRIS, JR. of Woodinville WA US for microsoft technology licensing, llc, Sarah BARNETTE of Seattle WA US for microsoft technology licensing, llc, Sergii Viktorovych LIASHENKO of Edmonds WA US for microsoft technology licensing, llc, Sanjeev Chandra REDDY of Redmond WA US for microsoft technology licensing, llc, Sayak CHATTERJEE of Seattle WA US for microsoft technology licensing, llc
IPC Code(s): G06F3/01, G06F21/84
CPC Code(s): G06F3/012
Abstract: systems and methods for sensor-agnostic representation of human presence information are described. an operating system of a computing device with a display screen is configured to receive, from a sensor system, human presence information representing the position and posture of one or more persons detected by a sensor of the sensor system, where the human presence information is determined based on a coordinate system associated with the display screen. the human presence information has the same format regardless of the sensor technology. the human presence information includes an elevation angle, an azimuth angle, a face pitch, a face roll, and/or a face yaw of the person relative to the sensor and/or display screen. the operating system may use the human presence information to implement privacy-related features and/or may provide the human presence information to one or more applications via an api.
Inventor(s): Thong Quang NGUYEN of Seattle WA US for microsoft technology licensing, llc
IPC Code(s): G06F8/34
CPC Code(s): G06F8/34
Abstract: systems, methods, and software are disclosed herein for an iterative process of visualization generation. in an implementation, a computing device receives a user request to generate a visualization. the computing device submits a first prompt to a foundation model to obtain code for generating an instance of the visualization requested by the user. the computing device generates an instance of the visualization using the code. the computing device submits the instance of the visualization to an image model to obtain a description of the instance and submits a second prompt to the foundation model to obtain an evaluation of the instance of the visualization with respect to the visualization requested by the user, including the description produced by the image model.
Inventor(s): Jade Megan DSouza of Seattle WA US for microsoft technology licensing, llc, Alexey Altoukhov of Carnation WA US for microsoft technology licensing, llc, Andrew Micheal Relyea of Seattle WA US for microsoft technology licensing, llc, Sun Kim Davey of Auburn WA US for microsoft technology licensing, llc, Donghoon Park of Sammamish WA US for microsoft technology licensing, llc, Haris Farhan Mohammad of Kirkland WA US for microsoft technology licensing, llc, Oleg Surmachev of Arlington WA US for microsoft technology licensing, llc, Vishwa Shobhit Sahay of Redmond WA US for microsoft technology licensing, llc, Alexander Geoffrey Howells of Sammamish WA US for microsoft technology licensing, llc
IPC Code(s): G06F9/4401
CPC Code(s): G06F9/4401
Abstract: systems, methods, apparatuses, and computer program products are disclosed for employing a hybrid boot to reimage a target device using a mobile device. a mobile device provides, to a target device, a boot file configured to execute an intermediate operating system. the mobile device performs a user presence check to determine whether the target device is in proximity to the mobile device. responsive to determining that the target device is in proximity to the mobile device, the mobile device provides, to the intermediate operating system on the target device, transfer information associated with at least a first restricted-access portion of a customized system image to cause the intermediate operating system to obtain the first restricted-access portion of the customized system image and reimage the target device based at least on the first restricted-access portion of the customized system image.
Inventor(s): Leo Tian YUE of Redmond WA US for microsoft technology licensing, llc, Clinton Edward RUTKAS of Sammamish WA US for microsoft technology licensing, llc, Lee Dicks CLARK of Seattle WA US for microsoft technology licensing, llc, Peter Josef KREISEDER of Redmond WA US for microsoft technology licensing, llc, Robert Joseph DISANO of Seattle WA US for microsoft technology licensing, llc
IPC Code(s): G06F9/451, G06F3/04812, G06F3/0482, G06N20/00
CPC Code(s): G06F9/452
Abstract: a method and system for providing access to virtual desktops may include receiving an input indicating hovering of a pointer over an icon in a toolbar, identifying one or more existing virtual desktops, determining a state for each of the one or more existing virtual desktops by identifying one or more instances of any applications that are currently running in each of the one or more existing virtual desktops and determining a running state for each of the one or more instances, and displaying a preview of each of the one or more existing virtual desktops in response to the hovering of the pointer over the icon. the preview may include displaying the running state for one of the one or more instances for each existing virtual desktop.
Inventor(s): Jimmy Chi Kin WONG of Seattle WA US for microsoft technology licensing, llc, Supriyo GHOSH of Bangalore IN for microsoft technology licensing, llc, Rakesh Jayadev NAMINENI of Sammamish WA US for microsoft technology licensing, llc, Mohit VERMA of Seattle WA US for microsoft technology licensing, llc, Chetan BANSAL of Seattle WA US for microsoft technology licensing, llc, Namrata JAIN of Sammamish WA US for microsoft technology licensing, llc, Rujia WANG of Chicago IL US for microsoft technology licensing, llc, Wei ZHOU of Bothell WA US for microsoft technology licensing, llc, Sukriti JAIN of Bothell WA US for microsoft technology licensing, llc, Sanjana GUNDALA of Seattle WA US for microsoft technology licensing, llc, Xuchao ZHANG of Sammamish WA US for microsoft technology licensing, llc, Senthil Kumar MUNIYANDI of Bothell WA US for microsoft technology licensing, llc
IPC Code(s): G06F11/07, G06N3/0455
CPC Code(s): G06F11/0793
Abstract: a set of incident records are received for a computing system. the incident records are analyzed to identify similar incident records which are then linked. incident clusters are generated based upon the links and incident records in each cluster are ranked. a prompt is generated to an artificial intelligence (ai) model based on the ranked, related incidents and the ai model returns a response that identifies a root cause and mitigation steps corresponding to the ranked incidents.
Inventor(s): Majid Anaraki NEMATI of San Diego CA US for microsoft technology licensing, llc, Terry M. GRUNZKE of Boise ID US for microsoft technology licensing, llc, Brett DODDS of Boise ID US for microsoft technology licensing, llc
IPC Code(s): G06F11/10
CPC Code(s): G06F11/1068
Abstract: the described technology provides a multi-level error correction method, including encoding data received from a double data rate (ddr) memory by performing primary coding to generate transitional symbols, wherein the primary coding comprising at least one of cyclical redundancy check (crc) encoding and single error correction double error detection (secded) encoding, performing a secondary coding on the transitional symbols to generate inner codes, the inner codes comprising code 1 parities generated from the transitional symbols and code 2 parities generated from the transitional symbols and metadata stored on the ddr memory, wherein the secondary coding comprising reed solomon (rs) encoding, and saving the inner codes on parity bit storage locations on a die of the ddr memory.
Inventor(s): Skand HURKAT of Bellevue WA US for microsoft technology licensing, llc, Aaron Michael LANDY of Kent WA US for microsoft technology licensing, llc
IPC Code(s): G06F15/78, G06F9/30
CPC Code(s): G06F15/7867
Abstract: the present disclosure relates to a vector processor implemented on programmable hardware (e.g., a field programmable gate array (fpga) device). the vector processor includes a plurality of vector processor lanes, where each vector processor lane includes a vector register file with a plurality of register file banks and a plurality of execution units. implementations described herein include features for optimizing resource availability on programmable hardware units and enabling superscalar execution when coupled with a temporal single-instruction multiple data (simd).
Inventor(s): Yonit HOFFMAN of Herzeliya IL for microsoft technology licensing, llc, Maayan YEDIDIA of Ramat Gan IL for microsoft technology licensing, llc, Avner LEVI of Kiryat Ono IL for microsoft technology licensing, llc
IPC Code(s): G06F16/783, G06V20/40, G06V30/19
CPC Code(s): G06F16/7844
Abstract: systems and methods for spatial-textual clustering-based recognition of text in videos are disclosed. a method includes performing textual clustering on a first subset of a set of predictions that correspond to numeric characters only and performing spatial-textual clustering on a second subset of the set of predictions that correspond to alphabetical characters only. the method includes, for each cluster of predictions associated with the first subset of the set of predictions, choosing a first cluster representative to correct any errors in each cluster of predictions associated with the first subset of the set of predictions and outputting any recognized numeric characters. the method includes, for each cluster of predictions associated with the second subset of the set of predictions, choosing a second cluster representative to correct any errors in each cluster of predictions associated with the second subset of the set of predictions and outputting any recognized alphabetical characters.
Inventor(s): Guillaume Didier Jean-Marc Dufour of Petaluma CA US for microsoft technology licensing, llc, Yang Chen of Sunnyvale CA US for microsoft technology licensing, llc, Lukasz Janusz Karolewski of San Jose CA US for microsoft technology licensing, llc
IPC Code(s): G06F16/9535, G06F16/9032, G06F40/30
CPC Code(s): G06F16/9535
Abstract: in an example embodiment, an embedding model is used to generate an embedding of a natural language searching goal specified by a user, the embedding representing user intent of the user. playbooks in a database of playbooks are also run through the embedding model to generate an embedding for each playbook indicative of a meaning of each playbook. a semantic relationship score can then be computed for each combination of the natural language search goal and a playbook, using the embeddings. these semantic relationship scores can then be passed into a ranking machine learning model, along with measured success rates for the playbooks, to generate a ranking of the playbooks. based on this ranking, a set of filters and action corresponding to at least one of the playbooks may then be recommended to the user.
20250131089. SECURITY THREAT MITIGATION_simplified_abstract_(microsoft technology licensing, llc)
Inventor(s): Tvisha Rajesh GANGWANI of Philadelphia PA US for microsoft technology licensing, llc, Ramesh CHINTA of Sammamish WA US for microsoft technology licensing, llc, Sahil Sanjay SANGHVI of Seattle WA US for microsoft technology licensing, llc, Kimia POURALI of Redmond WA US for microsoft technology licensing, llc, Michael Richard YAGLEY of Kirkland WA US for microsoft technology licensing, llc, Shashank YERRAMILLI of Hyderabad IN for microsoft technology licensing, llc, Komal Darshil PANDYA of Bengaluru IN for microsoft technology licensing, llc
IPC Code(s): G06F21/56, G06F21/55
CPC Code(s): G06F21/566
Abstract: the present disclosure provides methods, systems and storage media for conducting a security review of a system. certain examples relate to the use of trained generative ai to generating a root security query using a machine learning (ml) generator, based on a system description. a security requirement associated with the root security query is extracted, and an indication of the root security query is output at a user interface. a user input is received in response, and the ml generator generates a follow-up request that is output via the user interface. a second user input is received in response to the follow-up request, and the ml generator then determines that the security requirement is not satisfied by the target system.
Inventor(s): Tara SAFAVI of Seattle WA US for microsoft technology licensing, llc, Sheshera Shashidhar Mysore of Belchertown MA US for microsoft technology licensing, llc, Longqi Yang of Issaquah WA US for microsoft technology licensing, llc, Mengting Wan of Bellevue WA US for microsoft technology licensing, llc, Jennifer Lynay Neville of West LaFayette IN US for microsoft technology licensing, llc, Steve S. Menezes of Redwood City CA US for microsoft technology licensing, llc
IPC Code(s): G06F40/20
CPC Code(s): G06F40/20
Abstract: personally-stylized content can be generated without fine tuning a model. a personally-stylized content generation method can include receiving a first request for first content to be stylized in a style of written prose previously produced by a user, applying a previously trained retriever model to the first request to obtain second content previously produced by the user resulting in obtained content, populating a prompt with the obtained content and the first request resulting in an augmented prompt, providing the augmented prompt to a large language model (llm), receiving personally-stylized content from the llm, the personally-stylized content including elements of the style of the written prose of the user, and providing the personally-stylized content to the user.
20250131289. Knowledge Graph Extraction_simplified_abstract_(microsoft technology licensing, llc)
Inventor(s): Jonathan Karl LARSON of Bremerton WA US for microsoft technology licensing, llc, David Jan KOLECZEK of Southwick MA US for microsoft technology licensing, llc, Darren Keith EDGE of Cambridge GB for microsoft technology licensing, llc, Thu Ha TRINH of Kirkland WA US for microsoft technology licensing, llc, Newman CHENG of Reston VA US for microsoft technology licensing, llc
IPC Code(s): G06N5/02
CPC Code(s): G06N5/02
Abstract: this document relates to providing meaningful information relating to a dataset. one example can obtain aggregated summaries and a related knowledge graph. the example can enable local, community, and global retrieval augmented generation utilizing the aggregated summaries and the knowledge graph.
Inventor(s): Oz SOLOMON of Maple CA for microsoft technology licensing, llc, Monroe Milas THOMAS of Toronto CA for microsoft technology licensing, llc, Joseph Jacques-AndrĂŠ CHAMBERLAND of Toronto CA for microsoft technology licensing, llc, Fernando N. VITON of Kirkland WA US for microsoft technology licensing, llc, Matthew James STEPHURE of Toronto CA for microsoft technology licensing, llc, Fatemeh JAFARGHOLI of Toronto CA for microsoft technology licensing, llc
IPC Code(s): G06Q10/0637
CPC Code(s): G06Q10/0637
Abstract: users create, view, and interact with massive amounts of content every day, including browsing websites, engaging with social platforms, collaborating electronically with friends and colleagues, transacting with apps and/or plugins, creating and editing documents, and the like. traditionally, the content associated with various user interactions is siloed based on the entity with which the user interacts. accordingly, to achieve a goal, it is up to the user to compile content across various sources, identify and organize tasks and subtasks, and track progress and completion of the goal. the present application determines a goal for a user based on monitoring user interactions. a data structure is created for the goal, including determining applicable tasks and subtasks. the data structure becomes a living entity for storing and tracking the goal by continuing to monitor user interactions and determine the user's progress towards completion of each task and, ultimately, the goal.
Inventor(s): Christopher Huai-Hsien LIN of Bellevue WA US for microsoft technology licensing, llc, Chia-Jung LEE of Kirkland WA US for microsoft technology licensing, llc, Milad SHOKOUHI of Bellevue WA US for microsoft technology licensing, llc, Susan DUMAIS of Kirkland WA US for microsoft technology licensing, llc, Ahmed Hassan AWADALLAH of Redmond WA US for microsoft technology licensing, llc, Bahareh SARRAFZADEH of Waterloo CA for microsoft technology licensing, llc
IPC Code(s): G06Q10/107, G06N20/00, G06Q10/1093
CPC Code(s): G06Q10/107
Abstract: systems and methods are provided for determining whether a user has deferred one or more emails. more specifically, a system and method may determine whether an email is likely to have been deferred by a user, perform at least one action on the email determined likely to have been deferred, determine a mode for providing an indication to the user to follow-up with the email determined likely to have been deferred, and cause an indication specific to the email determined likely to have been deferred to be provided to the user. in some instances, the notifications are based on a device associated with the user and/or may be included in at least one of a task management application and/or a calendar application.
Inventor(s): Reginald Walton MARTIN, IV of Irvine CA US for microsoft technology licensing, llc, Eric Edmond THOMASIAN of Los Angeles CA US for microsoft technology licensing, llc, Amer Aref HASSAN of Kirkland WA US for microsoft technology licensing, llc
IPC Code(s): G10L21/028, G06F3/16, G10L15/06, G10L21/0216
CPC Code(s): G10L21/028
Abstract: systems and methods are disclosed herein for providing a shared ambiance in a virtual meeting. in some instances, systems receive audio signals from a set of audio inputs corresponding to a plurality of participants in a virtual meeting. each audio signal includes a voice component and a background noise component. systems isolate the background noise component from the voice component for each received audio signal and then determine an ambiance score for each isolated background noise component. based on the determined ambiance scores, systems select a particular background noise component from the isolated background noise components and transmit the particular background noise component to a set of audio outputs corresponding to the plurality of participants in order to provide a shared ambiance for the plurality of participants in the virtual meeting.
Inventor(s): Ehsan NASR AZADANI of Sammamish WA for microsoft technology licensing, llc, Scot Edward HEATH of Fort Collins CO US for microsoft technology licensing, llc, Shaun L. HARRIS of Edmonds WA US for microsoft technology licensing, llc, Paul Andrew CHURNOCK of O'fallon IL US for microsoft technology licensing, llc, Sean JAMES of Olympia WA US for microsoft technology licensing, llc, Christian L. BELADY of Mercer Island WA US for microsoft technology licensing, llc
IPC Code(s): H02J3/32, H02J9/06
CPC Code(s): H02J3/32
Abstract: power draw stabilization is provided. a target power consumption of a source load is determined. the source load is generated by electronics supplied power by a primary power source through a power rail. the power rail is coupled to a capacitor bank by a bi-directional converter configured to smooth fluctuations in power drawn from the primary power source by performing mode switch operations. the mode switch operations include, in response to the source load exceeding a target power consumption, controllably switching to a second directional mode that directs current released from the capacitor bank to the power rail. the mode switch operations further include, in response to the source load dropping below the target power consumption, controllably switching the operational mode of the bi-directional converter to a first directional mode to direct current from the power rail into the capacitor bank.
Inventor(s): Julian Arlo BINDER of Redwood City CA US for microsoft technology licensing, llc, Kang KANG of Redmond WA US for microsoft technology licensing, llc
IPC Code(s): H02J7/34, G02B27/01, G05B13/02, H02J7/00
CPC Code(s): H02J7/34
Abstract: circuitry configured to determine whether a backup battery is capable of providing power to power a load are provided. a circuit can include a backup battery, a sensor electrically coupled to generate condition data indicative of a condition in an environment of the backup battery, a first current sense device electrically coupled to generate first current data indicative of an amount of current provided to load circuitry, a backup battery controller coupled to the backup battery, sensor, and the first current sense device, the backup battery controller configured to determine based on the condition data and the first current data whether the backup battery is available to provide power to the load circuitry, and provide an electrical signal indicative of whether the backup battery is available to provide the power to the load circuitry.
Inventor(s): Ariel KENIG of Herzliya IL for microsoft technology licensing, llc, Yaniv Haim YEHUDA of Herzliya IL for microsoft technology licensing, llc
IPC Code(s): H04L41/5009, H04L41/0654, H04L43/04
CPC Code(s): H04L41/5009
Abstract: examples of the present disclosure describe systems and methods for implementing a success rate sli solution for service pipelines. in aspects, a metrics service may detect that a number of payloads relating to one or more activities or service requests have been received at one or more services of a service pipeline. for each payload processed by a service of the service pipeline, the metrics service may determine a set of payload processing metrics for the service. the set of payload processing metrics for the service may be applied to the payload. the payload processing metrics for each service may be aggregated and used to calculate a success rate for payloads processed using the service pipeline. based on the success rate, an sli may be evaluated and/or an action associated with the activity/service request may be performed.
Inventor(s): Alexander TSVETKOV of Tel-Aviv IL for microsoft technology licensing, llc, Abedelkader ASI of Sammamish WA US for microsoft technology licensing, llc, Roy EISENSTADT of Tel-Aviv IL for microsoft technology licensing, llc, Royi RONEN of Tel Aviv IL for microsoft technology licensing, llc
IPC Code(s): H04L51/063, G06F40/20
CPC Code(s): H04L51/063
Abstract: a disclosed method facilitates ai-generation of a customized email per a methodology that significantly reduces the risk of the customized email including hallucinated facts or undesirable personal identity information (pii). the method includes identifying an email template and a recipient identifier that identifies a recipient of the customized email based on user inputs to an email application; mining contextual data stored in association with the recipient identifier; generating a large language model (llm) prompt based on the email template and the contextual data; providing the llm prompt as input to a trained large language model (llm); receiving the customized email as an output from the llm; and returning the customized email to the email application for display within a user interface.
Inventor(s): Vincent BELLET of Kirkland WA US for microsoft technology licensing, llc, Marc Christophe POTTIER of Redmond WA US for microsoft technology licensing, llc, Paul SIM of Redmond WA US for microsoft technology licensing, llc, Karvell LI of Bellevue WA US for microsoft technology licensing, llc
IPC Code(s): H04L67/50, G06F3/0482, G06Q10/10, G06Q10/101, H04L51/216
CPC Code(s): H04L67/535
Abstract: systems and methods for providing status indicators for various forms of user activity that occurs across different digital contexts of a collaboration platform. a system can monitor activity that a particular user is performing within a particular digital context and provide status indicators to a different user within a different digital context when the monitored activity meets one or more criteria. for example, a system may cause a status indicator to be displayed in association with a data object within the digital context of a message thread when a specific type of user activity is occurring with respect to that data object within the digital context of an application that facilitates editing of the content of the data object. thus, a system can deliver timely and contextually relevant status indicators about how team members are currently interacting with a data object without users having to switch between digital contexts.
Inventor(s): Shudong ZHU of Issaquah WA US for microsoft technology licensing, llc
IPC Code(s): H04N19/103, G06F16/532, H04N19/136
CPC Code(s): H04N19/103
Abstract: disclosed solutions perform image compression using a variational autoencoder that enables greater compression than traditional methods, while simultaneously maintaining superior fidelity for the decompressed image. examples persist the bottleneck layer output of a variational autoencoder as a compressed image in the form of a latent tensor. the latent tensor is decompressed by a variational autodecoder into a recovered image in pixel space. in some examples, different encoder/decoder pairs are trained on specific image types, based on feature attributes. for example, maps have lines that are narrow compared to their length (e.g., have a high aspect ratio) which are different than features within photographs of people and scenes. some examples leverage contrastive language-image pre-training (clip) and/or bootstrapping language-image pre-training (blip) models to store embeddings, each associated with a compressed image, to enable natural language searches of compressed image collections without requiring decompression.
Inventor(s): Bin Li of Beijing CN for microsoft technology licensing, llc, Jizheng Xu of Beijing CN for microsoft technology licensing, llc, Gary J. Sullivan of Bellevue WA US for microsoft technology licensing, llc
IPC Code(s): H04N19/159, H04N19/11, H04N19/172, H04N19/176, H04N19/513, H04N19/57, H04N19/593, H04N19/96
CPC Code(s): H04N19/159
Abstract: innovations in encoder-side options for intra block copy (âbcâ) prediction mode facilitate intra bc prediction that is more effective in terms of rate-distortion performance and/or computational efficiency of encoding. for example, some of the innovations relate to concurrently performing block vector (âbvâ) estimation and making block splitting decisions for a block. other innovations relate to selectively merging blocks into a larger block during bv estimation.
Microsoft Technology Licensing, LLC patent applications on April 24th, 2025
- Microsoft Technology Licensing, LLC
- F16C11/04
- H05K5/02
- CPC F16C11/04
- Microsoft technology licensing, llc
- G06F3/01
- G06F21/84
- CPC G06F3/012
- G06F8/34
- CPC G06F8/34
- G06F9/4401
- CPC G06F9/4401
- G06F9/451
- G06F3/04812
- G06F3/0482
- G06N20/00
- CPC G06F9/452
- G06F11/07
- G06N3/0455
- CPC G06F11/0793
- G06F11/10
- CPC G06F11/1068
- G06F15/78
- G06F9/30
- CPC G06F15/7867
- G06F16/783
- G06V20/40
- G06V30/19
- CPC G06F16/7844
- G06F16/9535
- G06F16/9032
- G06F40/30
- CPC G06F16/9535
- G06F21/56
- G06F21/55
- CPC G06F21/566
- G06F40/20
- CPC G06F40/20
- G06N5/02
- CPC G06N5/02
- G06Q10/0637
- CPC G06Q10/0637
- G06Q10/107
- G06Q10/1093
- CPC G06Q10/107
- G10L21/028
- G06F3/16
- G10L15/06
- G10L21/0216
- CPC G10L21/028
- H02J3/32
- H02J9/06
- CPC H02J3/32
- H02J7/34
- G02B27/01
- G05B13/02
- H02J7/00
- CPC H02J7/34
- H04L41/5009
- H04L41/0654
- H04L43/04
- CPC H04L41/5009
- H04L51/063
- CPC H04L51/063
- H04L67/50
- G06Q10/10
- G06Q10/101
- H04L51/216
- CPC H04L67/535
- H04N19/103
- G06F16/532
- H04N19/136
- CPC H04N19/103
- H04N19/159
- H04N19/11
- H04N19/172
- H04N19/176
- H04N19/513
- H04N19/57
- H04N19/593
- H04N19/96
- CPC H04N19/159