Google LLC patent applications on August 22nd, 2024
Patent Applications by Google LLC on August 22nd, 2024
Google LLC: 25 patent applications
Google LLC has applied for patents in the areas of G10L15/22 (5), G10L15/18 (3), G06F3/0482 (2), G10L15/08 (2), H04L9/32 (2) G06F21/6254 (2), G10L15/22 (2), G01S7/417 (1), G10L13/047 (1), H04W76/20 (1)
With keywords such as: data, audio, application, content, user, based, device, input, interface, and systems in patent application abstracts.
Patent Applications by Google LLC
20240280669. Radar Application Programming Interface_simplified_abstract_(google llc)
Inventor(s): Andrew C. Felch of Palo Alto CA (US) for google llc, Shang Shi of Sunnyvale CA (US) for google llc
IPC Code(s): G01S7/41, G01S13/62, G01S13/88, G06F3/01
CPC Code(s): G01S7/417
Abstract: techniques and apparatuses are described that implement a radar application programming interface. the radar application programming interface provides a standardized language for external entities, such as an application a smart device, to communicate with a radar system without having to understand the design and operational complexities employed by the radar system. with the radar application programming interface, a third-party can readily interact with the radar system and customize use the radar system for a variety of different applications. in this way, the radar application programming interface can enable other entities to expand the utilization of the radar system, thereby providing additional features to enhance user experience.
20240280687. SYSTEM AND METHOD FOR MOTION CAPTURE_simplified_abstract_(google llc)
Inventor(s): Dongeek Shin of San Jose CA (US) for google llc
IPC Code(s): G01S13/87, G01S13/76, G06K7/10
CPC Code(s): G01S13/878
Abstract: ultra-wideband (uwb) tags can be used as part of a high-resolution motion capture system that may not require a cost or a complexity that is typically associated with visually based motion capture systems. the uwb based motion capture uses a bundle of uwb tags, which in a possible implementation, can be affixed to body parts of a user to sense motion of the body parts. the absolute positions of each uwb tag can then be determined by reconstructing a skeletal topology from a euclidean distance matrix based on inter-tag ranging measurements using handshake signals of a uwb protocol.
Inventor(s): Nagaraj Ashok Putti of Karnataka (IN) for google llc
IPC Code(s): G06F1/08, G06F1/10, G06F13/40
CPC Code(s): G06F1/08
Abstract: this document describes systems and techniques that enable independent clocking for configuration and status registers (csrs). the described systems and techniques can provide a clock signal to a csr set of an ip block with a derived clock rate an integer division slower than a clock rate of another clock signal that enables operation of the ip block, which may include communication between the ip block and an application processor. the derived clock rate is synchronous to but independent of the clock rate of the clock signal. in this way, the application processor and other entities can access the csr set independent of clocking of the ip block. for example, the application processor can read from or write to the csr set without waking the ip block from an auto clock gated mode. by so doing, described aspects of independent clocking can reduce power dissipation associated with the csr set.
Inventor(s): Jacek Szmigiel of Zurich (CH) for google llc, Joseph Lange of Zurich (CH) for google llc
IPC Code(s): G06F3/16, G06F3/0482, G06F3/04847, G06F3/04883, G10L15/22
CPC Code(s): G06F3/167
Abstract: implementations set forth herein relate to an automated assistant that can control graphical user interface (gui) elements via voice input using natural language understanding of gui content in order to resolve ambiguity and allow for condensed gui voice input requests. when a user is accessing an application that is rendering various gui elements at a display interface, the automated assistant can operate to process actionable data corresponding to the gui elements. the actionable data can be processed in order to determine a correspondence between gui voice input requests to the automated assistant and at least one of the gui elements rendered at the display interface. when a particular spoken utterance from the user is determined to correspond to multiple gui elements, an indication of ambiguity can be rendered at the display interface in order to encourage the user to provide a more specific spoken utterance.
20240281358. LAUNCHING DETERMINATION BASED ON LOGIN STATUS_simplified_abstract_(google llc)
Inventor(s): Keun Soo Yim of San Jose CA (US) for google llc, Zhitu Chen of Mountain View CA (US) for google llc
IPC Code(s): G06F11/34
CPC Code(s): G06F11/3438
Abstract: implementations determine log-in information indicating whether a user of a first application is logged into a target application and/or a website of the target application. in response to the log-in information indicating that the user is logged into the target application but not logged into the website of the target application, a first selectable element can be displayed at a user interface of the first application to receive user input that causes the target application to be opened. in response to the log-in information indicating that the user is not logged into the target application but is logged into the website of the target application, a second selectable element can be displayed at the first application to receive user input that leads to the website of the target application, or the first selectable element can be assigned a deeplink that leads to the website of the target application.
20240281404. SINGLE-SIDED DISTRIBUTED STORAGE SYSTEM_simplified_abstract_(google llc)
Inventor(s): Kyle Nesbit of Madison WI (US) for google llc, Andrew Everett Phelps of Middleton WI (US) for google llc
IPC Code(s): G06F15/173, G06F3/06
CPC Code(s): G06F15/17331
Abstract: a distributed storage system including memory hosts and at least one curator in communication with the memory hosts. each memory host has memory, and the curator manages striping of data across the memory hosts. in response to a memory access request by a client in communication with the memory hosts and the curator, the curator provides the client a file descriptor mapping data stripes and data stripe replications of a file on the memory hosts for remote direct memory access of the file on the memory hosts.
Inventor(s): Daniel Patt of Saratoga CA (US) for google llc, Ibrahim Badr of New York NY (US) for google llc
IPC Code(s): G06F16/951, H04L9/00, H04L9/32
CPC Code(s): G06F16/951
Abstract: systems and methods for identifying token data can include processing blockchain data to determine candidate token data, which can be processed to determine whether the candidate token data is associated with a blockchain trigger event that is associated with a non-fungible token. the systems and methods can process the output action of a blockchain trigger event to determine whether the output action acts similar to the output action of a non-fungible token. the determination may be based on the candidate token data being associated with one or more standards. the identified token data can be indexed and can then be surfaced in response to a search query. the surfaced index data can be provided for display in a search results page.
20240281481. CONTEXTUAL SEARCH TOOL IN A BROWSER INTERFACE_simplified_abstract_(google llc)
Inventor(s): Yana Yushkina of Seattle WA (US) for google llc, Carlos Augusto Marin Capriles of Venice CA (US) for google llc, Gabrielle Chung of Santa Clara CA (US) for google llc, John Oliver Por of San Francisco CA (US) for google llc, Tarun Bansal of Bellevue WA (US) for google llc, Greg Duman Schechter of Los Angeles CA (US) for google llc, Allison Stanfield of Beaverton OR (US) for google llc, Anudeep Palanki of Sammamish WA (US) for google llc, Michael Blair Crouse of Seattle WA (US) for google llc, Frank Goodman of San Francisco CA (US) for google llc, Thomas Lukaszewicz of Manly (AU) for google llc, Timothy Sohn of Los Altos CA (US) for google llc, Wilson Shih-Wei Sun of Shoreline WA (US) for google llc, Juan Alberto Mojica of Alhambra CA (US) for google llc, Duncan Andres Mercer of Orange CA (US) for google llc, Justin Gabriel Donnelly of Westlake Village CA (US) for google llc, Leonardo Jesus Peña of Marina Del Rey CA (US) for google llc, Jason Xia Hu of Santa Monica CA (US) for google llc, Lilyana Simeonova Mihalkova of Los Angeles CA (US) for google llc, Ji Young Lee of Sunnyvale CA (US) for google llc, Gabriel Mintzer Bender of Mountain View CA (US) for google llc, Behzad Golshan of Los Altos CA (US) for google llc, Bhavesh Sethi of Mountain View CA (US) for google llc
IPC Code(s): G06F16/9532, G06F9/445, G06F16/957
CPC Code(s): G06F16/9532
Abstract: a browser-based tool is disclosed for providing context-based assistance during web browsing. an example method involves receiving a contextual search request pertaining to main content displayed in a browser's display area, extracting content from the main content, receiving a contextual suggestion based on the extracted content, and displaying the contextual suggestion in a designated contextual search area within the browser. this innovative approach streamlines the search process by providing users with relevant suggestions based on the content they are currently viewing, thereby improving efficiency in navigating online information.
Inventor(s): Peter Kairouz of Seattle WA (US) for google llc, Christopher Choquette-Choo of Sunnyvale CA (US) for google llc, Sewoong Oh of Seattle WA (US) for google llc, Md Enayat Ullah of Baltimore MD (US) for google llc
IPC Code(s): G06F21/62, H03M7/32, H04L69/04
CPC Code(s): G06F21/6254
Abstract: new techniques are provided which reduce communication in private federated learning without the need for setting or tuning compression rates. example on-the-fly methods automatically adjust the compression rate based on the error induced during training, while maintaining provable privacy guarantees through the use of secure aggregation and differential privacy.
20240281566. SYSTEMS AND METHODS FOR PRESERVING DEVICE PRIVACY_simplified_abstract_(google llc)
Inventor(s): Michael Kleber of Newton MA (US) for google llc, Zhenyu Liu of San Jose CA (US) for google llc, Josh Karlin of Mountain View CA (US) for google llc, Deepak Ravichandran of Los Altos CA (US) for google llc, Nitish John Korula of New York NY (US) for google llc, Yijian Bai of San Ramon CA (US) for google llc, Jason Hsueh of Palo Alto CA (US) for google llc, Gang Wang of Frederick MD (US) for google llc
IPC Code(s): G06F21/62, G06N20/00, H04L67/50, H04L67/53
CPC Code(s): G06F21/6254
Abstract: the present disclosure provides systems and methods for client-side anonymized content selections. the method includes collecting a plurality of identifications of content selection lists, each content selection list associated with the first device and at least one other device. the method includes selecting a first subset of the content selection lists, responsive to a total number of unique device associated with a plurality of content selection lists of the first subset exceeding a threshold. the method includes transmitting a request for an item of content, the request comprising identifications of the content selection lists of the selected first subset. the method includes receiving a first item of content selected by the content server based on the content selection lists of the selected first subset.
Inventor(s): Blake Kaplan of New York NY (US) for google llc, Behnoosh Hariri of New York NY (US) for google llc, Ali Abdelhadi of New York NY (US) for google llc, Gregory George Galante of Little Silver NJ (US) for google llc
IPC Code(s): G06F40/166, G06F3/0482, G06F3/0484, H04L9/32
CPC Code(s): G06F40/166
Abstract: techniques are described herein for implementing collaborative poll elements within a document in a document editing application. a method includes: receiving first user interface input that indicates a first vote, associated with a first user, in an interactive poll element embedded in a first document; determining that the first user interface input is received via a first instance of the document editing application; and in response to determining that the first user interface input is received via the first instance of the document editing application: updating a list of votes associated with the interactive poll element by adding the vote, corresponding to the first user, to the list of votes associated with the interactive poll element; updating a cryptographic digital signature associated with the interactive poll element; and providing the updated list of votes and the updated cryptographic digital signature to each of the plurality of users.
Inventor(s): Dongeek Shin of San Jose CA (US) for google llc
IPC Code(s): G06T1/20, G02B27/01, G06F3/14, G06V10/74
CPC Code(s): G06T1/20
Abstract: a method including an image is received, a modified image is generated based on the image using a trained machine learning model, a rendered image is generated based on the modified image using an image injection pipeline, and the rendered image is displayed on a display of a wearable device.
Inventor(s): Alexander Kolesnikov of Zurich (CH) for google llc, Xiaohua Zhai of Zurich (CH) for google llc, André Susano Pinto of Zurich (CH) for google llc, Yuge Shi of London (GB) for google llc, Lucas Klaus Beyer of Zurich (CH) for google llc
IPC Code(s): G06V10/82, G06N3/0455
CPC Code(s): G06V10/82
Abstract: methods, systems, and apparatus, including computer programs encoded on computer storage media, for fine-tuning a computer vision neural network. in particular, the neural network is fine-tuned using task rewards and through reinforcement learning.
Inventor(s): Jie Ren of San Jose CA (US) for google llc, Zhe Liu of Mountain View CA (US) for google llc, James Urquhart Allingham of Cambridge MA (US) for google llc, Michael Ward Dusenberry of Rocklin CA (US) for google llc, Dustin Tran of San Francisco CA (US) for google llc, Yin Cui of Mountain View CA (US) for google llc, Balaji Lakshminarayanan of Mountain View CA (US) for google llc, Xiuye Gu of Mountain View CA (US) for google llc
IPC Code(s): G06V20/70, G06F40/40, G06V10/74, G06V10/764, G06V10/776
CPC Code(s): G06V20/70
Abstract: systems and methods for zero-shot prompt ensembling for zero-shot classification with text-image models can include utilizing a pre-trained text-image model to perform downstream tasks based on prompt-based weighting. the systems and methods may adjust for frequency-based bias and may automatically determine different prompt associations with a given downstream task. the systems and methods can aggregate weighted text embeddings and then determine a classification output based on similarity measures between an image embedding and the aggregated weighted text embeddings.
Inventor(s): Zhehuai Chen of Edgewater NJ (US) for google llc, Bhuvana Ramabhadran of Mt. Kisco NY (US) for google llc, Andrew Rosenberg of Brooklyn NY (US) for google llc, Yu Zhang of Mountain View CA (US) for google llc, Pedro J. Moreno Mengibar of Jersey City NJ (US) for google llc
IPC Code(s): G10L13/047, G10L13/08, G10L13/10
CPC Code(s): G10L13/047
Abstract: a method for training a speech recognition model includes obtaining a multilingual text-to-speech (tts) model. the method also includes generating a native synthesized speech representation for an input text sequence in a first language that is conditioned on speaker characteristics of a native speaker of the first language. the method also includes generating a cross-lingual synthesized speech representation for the input text sequence in the first language that is conditioned on speaker characteristics of a native speaker of a different second language. the method also includes generating a first speech recognition result for the native synthesized speech representation and a second speech recognition result for the cross-lingual synthesized speech representation. the method also includes determining a consistent loss term based on the first speech recognition result and the second speech recognition result and updating parameters of the speech recognition model based on the consistent loss term.
Inventor(s): Qingqing Huang of Palo Alto CA (US) for google llc, Daniel Sung-Joon Park of Hoboken NJ (US) for google llc, Aren Jansen of Mountain View CA (US) for google llc, Timo Immanuel Denk of Zürich (CH) for google llc, Yue Li of Mountain View CA (US) for google llc, Ravi Ganti of Santa Clara CA (US) for google llc, Dan Ellis of New York NY (US) for google llc, Tao Wang of Sunnyvale CA (US) for google llc, Wei Han of Redwood City CA (US) for google llc, Joonseok Lee of Fremont CA (US) for google llc
IPC Code(s): G10L15/06, G10L15/16
CPC Code(s): G10L15/063
Abstract: a corpus of textual data is generated with a machine-learned text generation model. the corpus of textual data includes a plurality of sentences. each sentence is descriptive of a type of audio. for each of a plurality of audio recordings, the audio recording is processed with a machine-learned audio classification model to obtain training data including the audio recording and one or more sentences of the plurality of sentences closest to the audio recording within a joint audio-text embedding space of the machine-learned audio classification model. the sentence(s) are processed with a machine-learned generation model to obtain an intermediate representation of the one or more sentences. the intermediate representation is processed with a machine-learned cascaded diffusion model to obtain audio data. the machine-learned cascaded diffusion model is trained based on a difference between the audio data and the audio recording.
Inventor(s): Victor Carbune of Zurich (CH) for google llc, Matthew Sharifi of Kilchberg (CH) for google llc
IPC Code(s): G10L15/22, G06F16/63, G10L15/18, G10L15/28
CPC Code(s): G10L15/22
Abstract: systems and methods for providing audio data, from an initially invoked automated assistant to a subsequently invoked automated assistant. an initially invoked automated assistant may be invoked by a user utterance, followed by audio data that includes a query. the query is provided to a secondary automated assistant for processing. subsequently, the user can submit a query that is related to the first query. in response, the initially invoked automated assistant provides the query to the secondary automated assistant in lieu of providing the query to other secondary automated assistants based on similarity between the first query and the subsequent query.
Inventor(s): Bo Wang of San Jose CA (US) for google llc, Venkat Kotla of Cupertino CA (US) for google llc, Chad Yoshikawa of Mountain View CA (US) for google llc, Chris Ramsdale of Mountain View CA (US) for google llc, Pravir Gupta of Los Altos CA (US) for google llc, Alfonso Gomez-Jordana of Mountain View CA (US) for google llc, Kevin Yeun of Mountain View CA (US) for google llc, Jae Won Seo of Mountain View CA (US) for google llc, Lantian Zheng of San Jose CA (US) for google llc, Sang Soo Sung of Palo Alto CA (US) for google llc
IPC Code(s): G10L15/22, G06F3/16, G10L15/18, G10L15/26, G10L15/30
CPC Code(s): G10L15/22
Abstract: systems and methods for enabling voice-based interactions with electronic devices can include a data processing system maintaining a plurality of device action data sets and a respective identifier for each device action data set. the data processing system can receive, from an electronic device, an audio signal representing a voice query and an identifier. the data processing system can identify, using the identifier, a device action data set. the data processing system can identify a device action from device action data set based on content of the audio signal. the data processing system can then identify, from the device action dataset, a command associated with the device action and send the command to the for execution device for execution.
20240282309. VOICE RECOGNITION SYSTEM_simplified_abstract_(google llc)
Inventor(s): Petar Aleksic of Jersey City NJ (US) for google llc, Pedro J. Moreno Mengibar of Jersey City NJ (US) for google llc
IPC Code(s): G10L15/26, G06F16/632, G10L15/04, G10L15/08, G10L15/183, G10L15/19, G10L15/197, G10L15/22
CPC Code(s): G10L15/26
Abstract: methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for voice recognition. in one aspect, a method includes the actions of receiving a voice input; determining a transcription for the voice input, wherein determining the transcription for the voice input includes, for a plurality of segments of the voice input: obtaining a first candidate transcription for a first segment of the voice input; determining one or more contexts associated with the first candidate transcription; adjusting a respective weight for each of the one or more contexts; and determining a second candidate transcription for a second segment of the voice input based in part on the adjusted weights; and providing the transcription of the plurality of segments of the voice input for output.
20240282341. Generating Audiovisual Content Based on Video Clips_simplified_abstract_(google llc)
Inventor(s): Nicholas James Clark of London (GB) for google llc, Glen Murphy of Palo Alto CA (US) for google llc, Jason Briggs Cornwell of Lafayette CA (US) for google llc, Conor Patrick O'Sullivan of San Francisco CA (US) for google llc, Philip Loyd Burk of Larkspur CA (US) for google llc, Eunyoung Park of Sunnyvale CA (US) for google llc, Philip Francis Rowe of Portland OR (US) for google llc, Donald Peter Turner of Fetcham, Surrey (GB) for google llc, Karl David Möllerstedt of Stockholm (SE) for google llc, Finn Åke Axel Ericson of Stockholm (SE) for google llc, Svante Sten Johan Stadler of Stockholm (SE) for google llc, Johan Philip Claesson of Stockholm (SE) for google llc, Ola Fredrik Josefsson of Stockholm (SE) for google llc
IPC Code(s): G11B27/031, G06F3/0483, G06F3/04847, G10H1/36
CPC Code(s): G11B27/031
Abstract: a method includes capturing, by a content generation component of a computing device, initial content comprising video, and audio associated with the video; identifying one or more audio clips in the audio associated with the video based on one or more transient points in the audio; extracting, for each audio clip, a corresponding video clip from the video of the initial content; providing a control interface to enable a user-generated sequence of audio clips, wherein each audio clip in the sequence of audio clips is selected from the one or more identified audio clips; generating new audiovisual content comprising a sequence of video clips to correspond to the user-generated sequence of audio clips, wherein each video clip in the sequence of video clips is the extracted corresponding video clip for each audio clip in the user-generated sequence of audio clips; and providing, by the control interface, the new audiovisual content.
20240282888. MICRO-LED WITH IMPROVED LIGHT EXTRACTION_simplified_abstract_(google llc)
Inventor(s): Aurelien Jean Francois David of San Francisco CA (US) for google llc
IPC Code(s): H01L33/20, H01L27/15, H01L33/46
CPC Code(s): H01L33/20
Abstract: a micro light-emitting diode, micro-led, is configured to provide increased light-extraction. the micro-led () according to the present disclosure has a lateral dimension less than 20 micrometres and comprises: a light-emitting layer (), an output facet (), an optical interface (via a mirror ) parallel to the light-emitting layer, and a non-vertical sidewall () forming an angle with respect to a normal of the light-emitting layer. the layer () emits light () comprising a first light () in a first trajectory that escapes the micro-led through the output facet () without reflecting off the optical interface and a second light () in a second trajectory that reflects off the optical interface and the non-vertical sidewall () and escapes through the output facet. the disclosed micro-leds may further include one or more of: cavity effects, light guiding, total internal reflection at low-index layers, mirrors, and micro-optics.
20240283179. Battery Connector_simplified_abstract_(google llc)
Inventor(s): David Wang of San Jose CA (US) for google llc, Chien-Yueh Tung of Hsinchu County (TW) for google llc, Hsi Pin Chuang of New Taipei City (TW) for google llc, James Robert Lim of Mountain View CA (US) for google llc
IPC Code(s): H01R12/79, H01R43/26, H05K1/02, H05K1/18
CPC Code(s): H01R12/79
Abstract: the disclosure describes a battery connector that includes a bendable axis configured to enable a first portion of the battery connector to be electrically connected to a corresponding connector prior to connecting a second portion. a flexible printed circuit may connect the first portion to the second portion and the bendable axis may be located along the flexible printed circuit. a hinge may connect the first portion to the second portion and enable the first portion to bend with respect to the second portion. a flexible printed circuit connected to the battery connector may enable the battery connector to wrap around an edge of a printed circuit board so that the first portion of the battery connector is connected to a first side of the printed circuit board and the second portion of the battery connector is connected to a second side of the printed circuit board.
20240283841. AUDIO-BASED DATA STRUCTURE GENERATION_simplified_abstract_(google llc)
Inventor(s): Gaurav Bhaya of Sunnyvale CA (US) for google llc, Robert James Stets, JR. of Mountain View CA (US) for google llc
IPC Code(s): H04L67/10, G06F40/174, G06F40/186, G06Q30/0242, G10L15/08, G10L15/18, G10L15/22, G10L15/30, H04L67/01, H04L67/53
CPC Code(s): H04L67/10
Abstract: routing packetized actions in a voice activated data packet based computer network environment is provided. a system can receive audio signals detected by a microphone of a device. the system can parse the audio signal to identify trigger keyword and request, and generate an action data structure. the system can transmit the action data structure to a third party provider device. the system can receive an indication from the third party provider device that a communication session was established with the device.
Inventor(s): Chih-Hsiang Wu of Taoyuan City (TW) for google llc, Ching-Jung Hsieh of Taipei City (TW) for google llc
IPC Code(s): H04W76/20, H04W76/12, H04W76/30, H04W80/02
CPC Code(s): H04W76/20
Abstract: a central unit control plane (cu-cp), a central unit user plane (cu-up), and a distributed unit (du) of distributed base station can implement a method for managing uplink or downlink early data transmission from or to a user equipment (ue) when the ue operates in an inactive state associated with a protocol for controlling radio resources. the method includes: determining the association of logical channel identifier(s) (lcid(s)), radio bearer identifier(s) (rb id(s)), and tunnel endpoint identifier(s) (teid(s)) for communicating data between the ue and the cu-up without transitioning the ue to a connected state associated with the protocol.
20240284635. Modular Liquid Cooling Architecture for Liquid Cooling_simplified_abstract_(google llc)
Inventor(s): Jerry Chiu of Pacifica CA (US) for google llc, Madhusudan K. Iyengar of Foster City CA (US) for google llc
IPC Code(s): H05K7/20
CPC Code(s): H05K7/203
Abstract: a housing and cooling system for computer hardware includes an infrastructure module and a payload module. the infrastructure module is configured for housing computer hardware and is equipped with either or both of a convective air cooling system and an arrangement of metal plates connected by one or more conduits for carrying liquid for cooling computer equipment housed by the infrastructure module. the infrastructure modules also houses a programmable logic controller (“plc”). the payload module includes an immersion cooling system governed by the plc and is located outside of the infrastructure module.
- Google LLC
- G01S7/41
- G01S13/62
- G01S13/88
- G06F3/01
- CPC G01S7/417
- Google llc
- G01S13/87
- G01S13/76
- G06K7/10
- CPC G01S13/878
- G06F1/08
- G06F1/10
- G06F13/40
- CPC G06F1/08
- G06F3/16
- G06F3/0482
- G06F3/04847
- G06F3/04883
- G10L15/22
- CPC G06F3/167
- G06F11/34
- CPC G06F11/3438
- G06F15/173
- G06F3/06
- CPC G06F15/17331
- G06F16/951
- H04L9/00
- H04L9/32
- CPC G06F16/951
- G06F16/9532
- G06F9/445
- G06F16/957
- CPC G06F16/9532
- G06F21/62
- H03M7/32
- H04L69/04
- CPC G06F21/6254
- G06N20/00
- H04L67/50
- H04L67/53
- G06F40/166
- G06F3/0484
- CPC G06F40/166
- G06T1/20
- G02B27/01
- G06F3/14
- G06V10/74
- CPC G06T1/20
- G06V10/82
- G06N3/0455
- CPC G06V10/82
- G06V20/70
- G06F40/40
- G06V10/764
- G06V10/776
- CPC G06V20/70
- G10L13/047
- G10L13/08
- G10L13/10
- CPC G10L13/047
- G10L15/06
- G10L15/16
- CPC G10L15/063
- G06F16/63
- G10L15/18
- G10L15/28
- CPC G10L15/22
- G10L15/26
- G10L15/30
- G06F16/632
- G10L15/04
- G10L15/08
- G10L15/183
- G10L15/19
- G10L15/197
- CPC G10L15/26
- G11B27/031
- G06F3/0483
- G10H1/36
- CPC G11B27/031
- H01L33/20
- H01L27/15
- H01L33/46
- CPC H01L33/20
- H01R12/79
- H01R43/26
- H05K1/02
- H05K1/18
- CPC H01R12/79
- H04L67/10
- G06F40/174
- G06F40/186
- G06Q30/0242
- H04L67/01
- CPC H04L67/10
- H04W76/20
- H04W76/12
- H04W76/30
- H04W80/02
- CPC H04W76/20
- H05K7/20
- CPC H05K7/203
