Google LLC patent applications on April 10th, 2025
Patent Applications by Google LLC on April 10th, 2025
Google LLC: 43 patent applications
Google LLC has applied for patents in the areas of G06F9/451 (3), G02B27/01 (3), G10L15/06 (3), G06V10/82 (2), H04L9/40 (2) G10L15/063 (3), G06F9/451 (2), H01Q1/273 (1), G06V10/82 (1), G09G3/2003 (1)
With keywords such as: user, device, media, audio, based, data, image, current, computing, and input in patent application abstracts.
Patent Applications by Google LLC
Inventor(s): Alicia Yolanda Kokoszka of San Francisco CA US for google llc, Karla Theresa Gleichauf of San Francisco CA US for google llc
IPC Code(s): A61B5/00
CPC Code(s): A61B5/4812
Abstract: according to an embodiment, a computing device can include one or more processors and one or more computer-readable media that store instructions that, when executed by the processor(s), cause the computing device to perform operations. the operations can include obtaining a plurality of sleep stages associated with a sleep session of a user. the sleep session can be at least partially defined by an estimated bedtime of the user. the operations can further include identifying, in the plurality of sleep stages, one or more defined sleep stages indicative of a defined sleep state of the user. the operations can further include calculating a time before sound sleep (tbss) metric based at least in part on the estimated bedtime of the user and a start time of the defined sleep stage(s). the operations can further include performing one or more operations based at least in part on the tbss metric.
20250114662. PERSONALIZED FITNESS COACH ON A TELEVISION_simplified_abstract_(google llc)
Inventor(s): Anish Kumar Singh of Pune IN for google llc
IPC Code(s): A63B24/00
CPC Code(s): A63B24/0075
Abstract: according to an aspect, a method may include rendering, by a television application executing on a computing device, a first user interface that provides a fitness goal setup option associated with an account of a user of the television application. the method may include receiving, by the television application, fitness goal criteria for the fitness goal setup option. the method may include sending, by the computing device, the fitness goal criteria to a server computer for use in generating a media content recommendation directed towards achieving the fitness goal criteria. the method may include receiving a sequence of selectable information items that correspond to media content items sourced by a plurality of different media content providers based on the media content recommendation. the method may include displaying, by the television application, a second user interface that includes the sequence of selectable information items.
Inventor(s): Anna Kipnis of San Bruno CA US for google llc
IPC Code(s): A63F13/55
CPC Code(s): A63F13/55
Abstract: game decisions are coordinated using a semantic natural language processing (nlp) machine learning (ml) algorithm, which is stored in a memory in some cases. in response to a game event, a processor records a text string that represents the game event in a text log that includes a sequence of text strings that represent game events that have transpired during a portion of the game. the processor also generates, using the semantic nlp ml algorithm, scores for labeled actions or content based on the text log and a curve that represents a target player experience as a function of progress through the game. the processor further serves one or more of the labeled actions or content that is selected based on the scores. the labeled actions or content are served to a display associated with the processor.
Inventor(s): Keith Adam Wong of San Francisco CA US for google llc, Junyu Mai of Walnut Creek CA US for google llc, Javier L. Prieto of Oakland CA US for google llc, Kimberlee Colin of London GB for google llc, Leo Leitner of London GB for google llc, Samuel Hecht of London GB for google llc, Brian Dennis Paschke of San Francisco CA US for google llc
IPC Code(s): G01N1/10, G01N1/38
CPC Code(s): G01N1/10
Abstract: a fluid sample collection unit may include a pod configured to receive a plurality of assay pads and a metering stack. the metering stack defines a channel extending longitudinally between an inlet end and dispensing portions. in some instances, the dispensing portions are movable relative to the assay pads, but a support feature within the pod vertically spaces apart the dispensing portions from the assay pads when less than a threshold vertical pressure is applied. in one instance, the pod defines a collection volume, a dispensing volume, and a passage portion, the passage portion connecting the collection and dispensing volumes. the metering stack is at least partially received within the pod, with the inlet end being positioned at the collection volume, the dispensing portions positioned within the dispensing volume above the assay pads, and an air gap being formed within the passage portion around the metering stack.
Inventor(s): Shandor Glenn Dektor of Sunnyvale CA US for google llc, Martin Johannes Kraemer of Mountain View CA US for google llc, Mark Fralick of San Diego CA US for google llc, Chuck Tally of Carlsbad CA US for google llc
IPC Code(s): G01R33/00
CPC Code(s): G01R33/0017
Abstract: methods, systems, and apparatus, for calibration quality control using multiple magnetometers. one of the methods includes: receiving measurements by two or more magnetic field sensors of a device over a period of time, wherein each measurement measures a magnetic field at each magnetic field sensor, wherein each measurement at each time point over the period of time includes a vector in one or more spatial axes of a three-dimensional space; computing a difference between the measurements over the period of time, wherein the difference at each time point over the period of time is a result of computing a difference based on one or more pairs of the vectors at the time point; determining that the difference does not remain within a predetermined range over the period of time; and in response, classifying calibration quality of the device as unsuitable for computing a heading of the device.
20250116804. OPTICAL WAVEGUIDE INCLUDING GRATING TRANSITION AREAS_simplified_abstract_(google llc)
Inventor(s): Huihang Dong of Weston FL US for google llc, Warren Cornelius Welch, III of Longmont CO US for google llc, Kang Luo of San Jose CA US for google llc, Wei Jin of Saratoga CA US for google llc
IPC Code(s): F21V8/00, G02B26/10, G02B27/00, G02B27/01
CPC Code(s): G02B6/0016
Abstract: a waveguide includes a set of grating structures forming a component on the surface of the waveguide. the set of grating structures is configured to direct light received at the component based on a parameter of one or more grating structures of the set of grating structures. further, the waveguide includes a first transition area disposed adjacent to a first side of the component wherein the parameter is modulated across the grating structures of the first transition area. additionally, the waveguide includes a second transition area disposed adjacent to a second, opposite side of the component wherein the parameter is also modulated across the grating structures of the second transition area.
Inventor(s): Lloyd Frederick Holland of Kitchener CA for google llc, Geoffrey Gudgeon of Waterdown CA for google llc, Joshua Moore of Elora CA for google llc
IPC Code(s): G02B27/01, G02C11/00, G09G3/00
CPC Code(s): G02B27/0176
Abstract: a display system comprises a first frame structure housing one or more processors and wearable proximate to a user's eye, and a second frame structure coupled to a light engine and various optical elements. the light engine generates display light indicative of graphical content, with the optical elements channeling the display light to the user's eye. the processors of the first frame structure control operations of the light engine via a selectively detachable connection between an electromechanical interface of the first frame structure and a corresponding electromechanical interface of the second frame structure.
Inventor(s): Moonseok Kim of Mountain View CA US for google llc, Elliot PATROS of Mountain View CA US for google llc, Sneh SINGARAJU of Mountain View CA US for google llc, Michelle ANSAI of Mountain View CA US for google llc, Efthymios TZINIS of Mountain View CA US for google llc
IPC Code(s): G06F3/16, H03G3/30
CPC Code(s): G06F3/165
Abstract: a media application obtains a video that includes an audio portion. the media application separates the audio portion into a plurality of channels, where each channel corresponds to a particular audio source. an on-screen classifier model obtains an indication of whether the particular audio source for each channel is depicted in the video. an audio-type classifier model determines, an auditory object classification for each channel. the media application determines a respective gain for each channel based on the indication of whether the particular audio source for the channel is depicted in the video and the auditory object classification for the channel. the media application modifies each channel by applying the respective gain. the media application mixes the modified channels with the audio portion to generate a combined audio.
20250117203. FAULT TOLERANT REMOTE APPLICATION INSTALLATION_simplified_abstract_(google llc)
Inventor(s): Yash Dave of Sunnyvale CA US for google llc, Vicki Vishwanath Amin of San Jose CA US for google llc
IPC Code(s): G06F8/61
CPC Code(s): G06F8/61
Abstract: a first computing device may receive a request to install an application at the first computing device from a second computing device signed into a same user account as the first computing device. the first computing device may, in response to receiving the request and based on the first computing device not having sufficient available storage space to install the application, download a stub associated with the application from a computing system. the first computing device may install the stub associated with the application.
Inventor(s): Shirish Bahirat of Longmont CO US for google llc
IPC Code(s): G06F9/38
CPC Code(s): G06F9/3836
Abstract: aspects of the disclosed technology include techniques and mechanisms for using a customizable and programmable control mechanism for single and multicore processors to schedule and execute one or more sets of instructions associated with different workloads. the customizable control mechanism may manage the one or more sets of instructions to be executed and may dynamically determine a priority order in which the one or more sets of instructions should be executed. the priority order may be based on workload-specific preferences and workload-specific requirements associated with each set of instructions. the customizable control mechanism may instruct one or more processors to execute the one or more sets of instructions in accordance with the determined priority order.
Inventor(s): Srinivas Kumar Sunkara of Mountain View CA US for google llc, Xiaoxue Zang of Santa Clara CA US for google llc, Ying Xu of Bellevue WA US for google llc, Lijuan Liu of San Jose CA US for google llc, Nevan Holt Wichers of Mountain View CA US for google llc, Gabriel Overholt Schubiner of New York NY US for google llc, Jindong Chen of Hillsborough CA US for google llc, Abhinav Kumar Rastogi of Sunnyvale CA US for google llc, Blaise Aguera-Arcas of Seattle WA US for google llc, Zecheng He of Princeton NJ US for google llc
IPC Code(s): G06F9/451
CPC Code(s): G06F9/451
Abstract: generally, the present disclosure is directed to user interface understanding. more particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. a machine-learned interface prediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).
20250117233. Cloud Infrastructure Management_simplified_abstract_(google llc)
Inventor(s): Vu Nguyen of Mountain View CA US for google llc, Chen Li of Mountain View CA US for google llc, Katherine Huang of Mountain View CA US for google llc, Gongpu Zhu of Mountain View CA US for google llc, Zewen Li of Mountain View CA US for google llc, Javier Kohen of Mountain View CA US for google llc
IPC Code(s): G06F9/451, H04L41/022, H04L41/0803
CPC Code(s): G06F9/451
Abstract: a method for managing cloud infrastructure includes receiving, from a user of a user device, a cloud infrastructure modification request requesting modification to cloud infrastructure. the cloud infrastructure modification request includes abstract configuration data derived from a user interaction with a graphical user interface (gui) executing on the user device. the method includes translating the abstract configuration data into a configuration command. the configuration command describes a configuration of the cloud infrastructure. the method includes updating a configuration file with the configuration command. the configuration file includes one or more cloud infrastructure specifications for the cloud infrastructure and is controlled by a source control management system. the method includes provisioning, using the updated configuration file, the cloud infrastructure.
20250117234. Personalized Suggestion Manager_simplified_abstract_(google llc)
Inventor(s): Indu Ramamurthi of Los Altos CA US for google llc, Ryan Kam Wang Tai of Sunnyvale CA US for google llc
IPC Code(s): G06F9/451, G10L15/22, H04L12/28
CPC Code(s): G06F9/453
Abstract: this document describes systems and techniques for implementing personalized suggestions for a user interacting with a facility management system based on contextual metadata to assist the user in controlling the facility management system. for example, a system includes a request module configured to receive a request from a user. a metadata module is configured to access and identify metadata related to a content or context of the request. a large language model (llm) module is configured to receive the request and the metadata and to generate a suggestion relevant to the content or context of the request. a suggestion module is configured to present the suggestion to the user.
20250117367. ACCESSING OBJECTS IN HOSTED STORAGE_simplified_abstract_(google llc)
Inventor(s): Navneet Joneja of Issaquah WA US for google llc
IPC Code(s): G06F16/182, G06F16/11, G06F16/13, G06F16/16, G06F21/62
CPC Code(s): G06F16/1824
Abstract: a hosted storage system receives a storage request that includes a single object and conforms to an api implemented by the hosted storage system. the api is designed to only support a single object in a storage request. the hosted storage system, in response to determining that the single object is an archive file, extracts each of the bundled files from the archive file and stores each of the extracted files in the hosted storage system such that each of the extracted files is separately accessible by the client system over the network.
Inventor(s): Asaf Revach of Nordia Center District IL for google llc, Hongrae Lee of Mountain View CA US for google llc, Zhengzhong Liang of Melrose MA US for google llc
IPC Code(s): G06F16/2453, G06F40/40
CPC Code(s): G06F16/24535
Abstract: implementations leverage a generative model (e.g., a large language model (llm)) to generate a plurality of candidate subqueries for multifaceted natural language (nl) based input, where each of the candidate subqueries is potentially directed to a facet or problem of the multifaceted nl based input. those implementations further select, from the plurality of candidate subqueries and using one or more evaluation metrics, a subset of the candidate queries. those implementations further, in response to selecting the subset of the candidate queries, obtain, for each of the candidate subqueries of the selected subset, at least one corresponding search result. those implementations further generate a response to the nl based input based on the corresponding search results for the candidate subqueries of the subset, and cause the response to be rendered responsive to the nl based input.
20250117521. ADDITIVE AND SUBTRACTIVE NOISE FOR PRIVACY PROTECTION_simplified_abstract_(google llc)
Inventor(s): Gang Wang of Frederick MD US for google llc, Andres Munoz Medina of Brooklyn NY US for google llc, Marcel M. Moti Yung of New York NY US for google llc, Yijian Bai of San Ramon CA US for google llc, Ardian Poernomo of Santa Clara CA US for google llc, Jingjing Wang of Redwood City CA US for google llc
IPC Code(s): G06F21/62
CPC Code(s): G06F21/6245
Abstract: this disclosure relates to using additive and subtractive noise for preserving the privacy of users. in one aspects, a method includes obtaining a first set of genuine user group identifiers that identify user groups that include a user as a member. a second set of user group identifiers is generated for the user by removing zero or more genuine user group identifiers from the first set to generate the second set and adding, to the second set, one or more fake user group identifiers for user groups that do not include the user as a member. a probabilistic data structure is generated based on the second set of user group identifiers. the probabilistic data structure is transmitted to a recipient computing system. data indicating a set of digital components including at least one digital component selected based on the probabilistic data structure is received. a given digital component is presented.
20250117569. NON-LINEAR TEXT SCALING_simplified_abstract_(google llc)
Inventor(s): Mark Arthur Schillaci of San Jose CA US for google llc
IPC Code(s): G06F40/109, G06F3/04847
CPC Code(s): G06F40/109
Abstract: disclosed implementations allow for the customization of text size in displayable content via a nonlinear text scaling, which provides users with enhanced readability and accessibility options. nonlinear text scaling includes adjusting the text size of displayable content using a fixed font size, a zoom level, and a uniformity level. user interface elements can be provided that allow manipulation of the zoom level and the uniformity level. user interface elements can be provided that add bolding and word/line/character spacing.
20250117573. DRAFTING ASSISTANT FOR A BROWSER_simplified_abstract_(google llc)
Inventor(s): Benjamin Albert Azose of San Carlos CA US for google llc, Max Benjamin Christoff of Berkeley CA US for google llc
IPC Code(s): G06F40/166
CPC Code(s): G06F40/166
Abstract: implementations relate to a drafting assistant that assists users in generating prompts for a language model that generates responses for text boxes for a web page. implementations may receive a prompt from a user regarding an input for the text box, generate a modified prompt by incorporating contextual information identified from the web page, and provide the modified prompt to a generative language model, which generates a response for the modified prompt. the response is presented to the user and can be used as the input for the text box. implementations dynamically engineer/enhance prompts based on the context of the web page, thereby facilitating more accurate and relevant responses from the generative language model.
Inventor(s): Victor Carbune of Zurich CH for google llc, Ondrej Škopek of Zurich CH for google llc
IPC Code(s): G06F40/40, G06F3/0483, G06F3/0484, G06F40/109, G06F40/169
CPC Code(s): G06F40/40
Abstract: techniques include using a generative model to make changes to content such that the mechanisms used to guide the user into a decision become plain to the user and/or minimizes the perceived urgency. implementations can operate as part of the browser or as an extension to the browser. implementations may identify a targeted ui element in browser content (a web page) and use the generative model to modify the targeted ui element before presenting the browser content to the user. in some implementations, the identification of the targeted ui element may be performed by the generative model.
Inventor(s): Nathan Cody JONES of Los Angeles CA US for google llc
IPC Code(s): G06N10/60, G06N10/70
CPC Code(s): G06N10/40
Abstract: this disclosure is directed to a method for performing a quantum computation. a set of qubits may be allocated for the quantum computation. the qubits of the set of the qubits may be calibrated in parallel with the execution of the quantum computation. the method may include subdividing the set of qubits into a first calibration group and a first computation group. the first calibration group and the first computation group may be complementary subsets of the set of qubits. a first portion of the quantum computation may be executed with qubits included in the first computation group. during execution of the first portion of the quantum computation with the qubits included in the first computation group, qubits included in the first calibration group may be calibrated. a second portion of the quantum computation may be executed with the calibrated qubits included in the first calibration group.
Inventor(s): Keun Soo Yim of San Jose CA US for google llc, Zhitu Chen of Mountain View CA US for google llc, Brendan G. Lim of Mountain View CA US for google llc
IPC Code(s): G06N20/00, G06F3/01, G06F3/04886, G06F3/16
CPC Code(s): G06N20/00
Abstract: implementations set forth herein relate to an automated assistant that can adapt to circumstances in which a user may invoke an automated assistant with an intention of interacting with the automated assistant via a non-default interface. for example, in some instances, a user may invoke an automated assistant by selecting a selectable gui element. in response, the automated assistant can determine that, in the current context, spoken utterances may not be suitable for providing to the automated assistant. based on this determination, the automated assistant can cause a keyboard interface to be rendered and/or initialized for receiving typed inputs from the user. should the user subsequently change contexts, the automated assistant can determine that voice input is now suitable for user input and initialize an audio interface in response to the user providing an invocation input in the subsequent context.
20250117882. GENERATION OF HIGH-RESOLUTION IMAGES_simplified_abstract_(google llc)
Inventor(s): Peyman MILANFAR of Mountain View CA US for google llc, Hossein TALEBI of Mountain View CA US for google llc, Mauricio DELBRACIO of Mountain View CA US for google llc, Ignacio GARCIA of Mountain View CA US for google llc, Keren YE of Mountain View CA US for google llc, Navin SARMA of Mountain View CA US for google llc
IPC Code(s): G06T3/4053, G06T3/4046
CPC Code(s): G06T3/4053
Abstract: a computer implemented method includes providing a user interface to a user that includes an original image and an option to generate a high-resolution portion of the original image. the method includes receiving a selection of the option to generate the high-resolution portion of the original image and dimensions of a portion of the original image. the method includes providing the portion of the original image as input to a machine-learning model. the method includes generating, with the machine-learning model, the high-resolution image. the method includes updating the user interface to include the high-resolution portion of the original image.
Inventor(s): David Steiner of Redwood City CA US for google llc, Ellery Alyosha Wulczyn of Oakland CA US for google llc, Po-Hsuan Chen of Mountain View CA US for google llc, Ronnachai Jaroensri of Stateline NV US for google llc, Supriya Vijay of San Jose CA US for google llc, Jeremy Lai of Newton MA US for google llc, Saloni Agarwal of Bellevue WA US for google llc, Yun Liu of Mountain View CA US for google llc, Faruk Ahmed of Mountain View CA US for google llc
IPC Code(s): G06T5/60, G06T3/40, G06T5/50
CPC Code(s): G06T5/60
Abstract: an example computer-implemented method for self-supervised training of an image processing model for histopathology images is provided. the example method includes obtaining a reference histopathology image; generating an augmented histopathology image, wherein generating the augmented histopathology image comprises performing, for an input image, at least one of the following augmentations: applying a blur to the input image and injecting noise artifacts into the blurred input image; or cropping a plurality of portions from the input image, wherein the plurality of portions are determined based on a minimum overlap criterion that has been updated over one or more iterations; and training the image processing model based on a similarity of latent representations generated by the image processing model respectively for the reference histopathology image and the augmented histopathology image.
Inventor(s): Mingyan Gao of Los Altos CA US for google llc, Tao Zhu of Los Altos CA US for google llc, Hui Miao of Palo Alto CA US for google llc, Ye Jin of Mountain View CA US for google llc, Bibang Liu of Sunnyvale CA US for google llc, Qiao Zhang of Mountain View CA US for google llc, Jeffrey Daniel Forrester of Mountain View CA US for google llc
IPC Code(s): G06V10/80, G06F40/284, G06V10/82, G06V20/40, G10L15/02, G10L25/18, G10L25/57
CPC Code(s): G06V10/806
Abstract: methods and systems for media trend identification of content sharing platforms are provided herein. a set of audiovisual embeddings that represent audiovisual features of a media item is obtained. a set of textual embeddings that represent textual features of the media item is obtained. the obtained set of audiovisual embeddings and the obtained set of textual embeddings are provided as an input to an artificial intelligence (ai) model trained to predict whether a respective media item is associated with one or more media trends of a platform based on given embeddings for the media item. one or more outputs of the ai model are obtained. a determination is made, based on the one or more outputs of the ai model, whether the media item is associated with the one or more media trends of the platform.
20250118064. ATTENTION-BASED IMAGE GENERATION NEURAL NETWORKS_simplified_abstract_(google llc)
Inventor(s): Noam M. Shazeer of Palo Alto CA US for google llc, Lukasz Mieczyslaw Kaiser of San Francisco CA US for google llc, Jakob D. Uszkoreit of Berlin DE for google llc, Niki J. Parmar of San Francisco CA US for google llc, Ashish Teku Vaswani of San Francisco CA US for google llc
IPC Code(s): G06V10/82, G06F18/21, G06F18/213, G06F18/28, G06N3/04, G06N3/084, G06T3/4053, G06V10/56, G06V10/77
CPC Code(s): G06V10/82
Abstract: methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output image. in one aspect, one of the methods includes generating the output image intensity value by intensity value according to a generation order of pixel-color channel pairs from the output image, comprising, for each particular generation order position in the generation order: generating a current output image representation of a current output image, processing the current output image representation using a decoder neural network to generate a probability distribution over possible intensity values for the pixel—color channel pair at the particular generation order position, wherein the decoder neural network includes one or more local masked self-attention sub-layers; and selecting an intensity value for the pixel—color channel pair at the particular generation order position using the probability distribution.
Inventor(s): Bo Li of Folsom CA US for google llc, Kaushik Indravadan Sheth of Los Altos CA US for google llc
IPC Code(s): G09G3/20, G09G3/32
CPC Code(s): G09G3/2003
Abstract: in a general aspect, a display panel includes a plurality of pixel groups. a pixel group of the plurality of pixel groups includes a plurality of light emitters of different colors, and a single current source that is multiplexed to sequentially activate light emitters of the plurality of light emitters using a first plurality of selector switches, the display panel further includes a single driver switch for coupling the single current source with the first plurality of selector switches, and a memory for controlling the single driver switch.
20250118287. Sonifying Visual Content For Vision-Impaired Users_simplified_abstract_(google llc)
Inventor(s): Ramprasad Sedouram of BANGALORE IN for google llc, Jaunani Sriramachandran of Sammamish WA US for google llc
IPC Code(s): G10L13/08, G10L15/26
CPC Code(s): G10L13/08
Abstract: a method includes receiving, for presentation to a user of a user device, image data representing an image. the method also includes generating, using a textual story generative model, based on the image data, a textual story for the image, and generating, based on the textual story for the image, textual story audio data representing the textual story for the image. the method further includes providing, for audible output from the user device, the textual story audio data.
20250118291. SELF-SUPERVISED LEARNING FOR AUDIO PROCESSING_simplified_abstract_(google llc)
Inventor(s): Chung-Cheng CHIU of Sunnyvale CA US for google llc, Weikeng QIN of Sunnyvale CA US for google llc, Jiahui YU of Bellevue WA US for google llc, Yonghui WU of Fremont CA US for google llc, Yu ZHANG of Mountain View CA US for google llc
IPC Code(s): G10L15/06, G10L15/04, G10L15/16
CPC Code(s): G10L15/063
Abstract: methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training an audio-processing neural network that includes at least (1) a first encoder network having a first set of encoder network parameters and (2) a decoder network having a set of decoder network parameters. the system obtains a set of un-labeled audio data segments, and generates, from the set of un-labeled audio data segments, a set of encoder training examples. the system performs training of a second encoder neural network that includes at least the first encoder neural network on the set of generated encoder training examples. the system also obtains one or more labeled training examples, and performs training of the audio-processing neural network on the labeled training examples.
Inventor(s): Yiling Huang of Edgewater NJ US for google llc, Weiran Wang of Iowa City IA US for google llc, Quan Wang of Hoboken NJ US for google llc, Guanlong Zhao of Long Island City NY US for google llc, Hank Liao of New York NY US for google llc, Han Lu of Redmond WA US for google llc
IPC Code(s): G10L15/06, G10L15/07
CPC Code(s): G10L15/063
Abstract: a method includes obtaining labeled training data including a plurality of spoken terms spoken during a conversation. for each respective spoken term, the method includes generating a corresponding sequence of intermediate audio encodings from a corresponding sequence of acoustic frames, generating a corresponding sequence of final audio encodings from the corresponding sequence of intermediate audio encodings, generating a corresponding speech recognition result, and generating a respective speaker token representing a predicted identity of a speaker for each corresponding speech recognition result. the method also includes training the joint speech recognition and speaker diarization model jointly based on a first loss derived from the generated speech recognition results and the corresponding transcriptions and a second loss derived from the generated speaker tokens and the corresponding speaker labels.
20250118293. CHAIN OF THOUGHT REASONING FOR ASR_simplified_abstract_(google llc)
Inventor(s): Mingqing Chen of Saratoga CA US for google llc, Rajiv Mathews of Sunnyvale CA US for google llc, Andrew Hard of Seattle WA US for google llc, Swaroop Ramaswamy of Mountain View CA US for google llc, Kilol Gupta of Mountain View CA US for google llc
IPC Code(s): G10L15/06, G10L15/26, G10L25/30
CPC Code(s): G10L15/063
Abstract: a method includes receiving a conversational training dataset including a plurality of conversational training samples, each training sample associated with a corresponding conversation and including: corresponding audio data characterizing a corresponding current utterance spoken by a user during a current turn in the corresponding conversation; a corresponding context for the corresponding current utterance including a transcript of a previous turn in the corresponding conversation that precedes the current turn; a corresponding ground-truth transcription of the corresponding current utterance; and a cot annotation representing a corresponding logical relationship between the corresponding current utterance and the previous turn. the method also includes, for each corresponding conversational training sample in the conversational training dataset, training a speech model on the corresponding conversational training sample to teach the speech model to learn how to predict the corresponding logical relationship from the corresponding audio data and the corresponding context.
20250118299. Context Aware Notifications_simplified_abstract_(google llc)
Inventor(s): Jaime Guajardo of Austin TX US for google llc, Gabriella Lanning of Austin TX US for google llc, Dmitrii Boiarshinov of Round Rock TX US for google llc
IPC Code(s): G10L15/22, G06F40/20
CPC Code(s): G10L15/22
Abstract: a computer-implemented method includes receiving a natural language command from a user that requests a digital assistant to provide a notification to a user device associated with the user upon occurrence of a particular event. the method also includes processing the natural language command using a natural language understanding module to determine one or more event conditions that each indicate the occurrence of the particular event and obtaining event information of the particular event. while the user device is in a notification silencing mode, the method includes determining that at least one of the one or more event conditions is satisfied and providing the notification for output from the user device in response to determining that at least one of the one or more event conditions is satisfied. the notification, when output from the user device, notifies the user of the occurrence of the particular event.
Inventor(s): Taral Pradeep Joglekar of Sunnyvale CA US for google llc, Alexander H. Gruenstein of Mountain View CA US for google llc, Turaj Zakizadeh Shabestary of San Francisco CA US for google llc
IPC Code(s): G10L21/0216, G10L21/0208
CPC Code(s): G10L21/0216
Abstract: a method includes receiving an audible response to a query, and prior to playing back the audible response, providing, for output from an acoustic speaker, an alignment output audio stream that encodes an audio watermark. the method also includes receiving an alignment input audio stream captured by a microphone array and encoding an acoustic echo of the audio watermark, processing the alignment input audio stream to detect the acoustic echo, and determining a time alignment value between the alignment output audio stream and the alignment input audio stream. the method also includes playing back a response output audio stream that encodes the audible response and receiving an input audio stream. the input audio stream includes acoustic echo corresponding to the audible response played back. the method also includes processing the input audio stream to generate a respective target audio signal that cancels the acoustic echo.
Inventor(s): Edward Choi of San Jose CA US for google llc, Andrew M. Dai of San Francisco CA US for google llc, Gerardo Flores of Berkeley CA US for google llc, Yuan Xue of Palo Alto CA US for google llc, Michael Ward Dusenberry of San Mateo CA US for google llc, Zhen Xu of Mountain View CA US for google llc, Yujia Li of London GB for google llc
IPC Code(s): G16H15/00, G06N3/08, G16H50/20
CPC Code(s): G16H15/00
Abstract: methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing data about a medical encounter using neural networks. one of the methods includes obtaining features for a medical encounter associated with the patient, each feature representing a corresponding health event associated with the medical encounter and each of the plurality of features belonging to a vocabulary of possible features that each represent a different health event; and generating respective final embeddings for each of the features for the medical encounter by applying a sequence of one or more self-attention blocks to the features for the medical encounter, wherein each of the one or more self-attention blocks receives a respective block input for each of the features and applies self-attention over the block inputs to generate a respective block output for each of the features.
20250118887. ANTENNA ARRANGEMENT FOR EYEWEAR_simplified_abstract_(google llc)
Inventor(s): Emeka Ugwu of Oakland CA US for google llc, Balamurugan Shanmugam of Fremont CA US for google llc, Sajeev Alakkatt Paleri of Santa Clara CA US for google llc, Charles R. Schabacker of San Jose CA US for google llc, Nan Xu of Sunnyvale CA US for google llc
IPC Code(s): H01Q1/27, G02B27/01, G02C11/00, H01Q1/48
CPC Code(s): H01Q1/273
Abstract: an augmented reality (ar) or mixed reality (mr) eyewear display utilizes an antenna arrangement for eyewear that optimizes the performance of the antenna without sacrificing the functionality or modularity of the eyewear. in one implementation, the antenna arrangement includes a first conductor that functions as a ground for the antenna, a second conductor configured to help retain a lens, and an antenna feed configured to excite the second conductor, causing the second conductor to act as an antenna. the first and/or second conductor additionally acts as a lens retention feature by interfacing with a groove in a lens and the use of a locking clip that prevents the lens from becoming dislodged from the second conductor, thus enabling quick and easy installation or removal of the lens.
20250118998. COMMUNICATION FOR WIRELESS CHARGING_simplified_abstract_(google llc)
Inventor(s): Zhenxue Xu of Mountain View CA US for google llc, Shuo Wang of Gainesville FL US for google llc, Liang Jia of Palo Alto CA US for google llc, Srikanth Lakshmikanthan of Milpitas CA US for google llc, Yirui Yang of Mountain View CA US for google llc
IPC Code(s): H02J50/80, H02J50/12
CPC Code(s): H02J50/80
Abstract: an electronic device includes a wireless charging receive coil configured to transduce, into an alternating current (ac) power signal, a magnetic field generated by a wireless charging transmit coil of an external device; an active rectifier configured to convert the ac signal received at an ac side of the active rectifier into a direct current (dc) power signal output at a dc side of the active rectifier, the active rectifier comprising a plurality of switches; a first modulation capacitor connected to an upper rail of the ac side; a second modulation capacitor connected to a lower rail of the ac side; and a controller configured to adjust an impedance of the computing device to communicate with the external device by at least controlling the plurality of switches to cause the first modulation capacitor and the second modulation capacitor to charge during separate time periods.
Inventor(s): Xuemei Ouyang of Redwood City CA US for google llc, Po-wei Yeh of New Taipei City TW for google llc, Dennis Yee of San Francisco CA US for google llc
IPC Code(s): H04L1/1812, H04L1/1803, H04L5/00
CPC Code(s): H04L1/1816
Abstract: the present disclosure provides systems and methods for transmitting data to a pair of truly wireless devices. a first device, which may be considered the primary device, may determine a first data packet was received. the first device may also determine the first data packet was not received by a second device of the pair of truly wireless devices. in response to determining the second device did not receive the first data packet, the first device may request the first data packet be retransmitted.
20250119284. Distribute Encryption Keys Securely and Efficiently_simplified_abstract_(google llc)
Inventor(s): Rohit Jog of Mountain View CA US for google llc, Cristina Schmidt of Mountain View CA US for google llc, Clifford Arthur Frey of Mountain View CA US for google llc
IPC Code(s): H04L9/08, H04L9/14, H04L9/40
CPC Code(s): H04L9/088
Abstract: a method for distributing encryption keys includes receiving a table associated with a particular user, the table including a plurality of data blocks and splitting the table into a plurality of tablets including a corresponding portion of data blocks. the method also includes generating a resource key uniquely associated with the table and for each tablet generating a unique data encryption key for the corresponding tablet to encrypt with the unique data encryption key. the method also includes encrypting each data encryption key with the resource key and distributing control of each encrypted tablet and each corresponding encrypted data encryption key to a plurality of tablet servers, each controlling one or more of the encrypted tablets. the resource key transmits to a remote entity causing the remote entity to encrypt the resource key with a user key associated with the particular user and transmit the encrypted resource key.
20250119390. Fair Order Processing_simplified_abstract_(google llc)
Inventor(s): Benoit Lefebvre of Campbell CA US for google llc, Steven Richard King of Portland OR US for google llc, Karthik Nandimandalam Venkata of Mountain View CA US for google llc, Saahil Shriniwas Gokhale of Santa Clara CA US for google llc, Rajeev Nair of San Jose CA US for google llc
IPC Code(s): H04L47/34, H04L47/125, H04L47/50
CPC Code(s): H04L47/34
Abstract: the technology is generally directed to reordering packets received by a network to reduce the unfairness in transmitting and receiving data. the packets may be reordered based on a timestamp appended to the packet. the timestamp may correspond to a time when the sender loses control of the packet and the receiving network gains control. a packet reorder structure may receive the packets with the appended timestamps during a sample interval. the packet reorder structure may compare the timestamp to a time interval for a plurality of timeslots. the packets may be reordered based on the timeslot the packet is allocated to. in some examples, the duration of the timeslot may be dynamically adjusted such that the number of out of order packets received during the sample interval corresponds to a threshold.
20250119470. REMOTE APPLICATION MANAGEMENT_simplified_abstract_(google llc)
Inventor(s): Yash Dave of Sunnyvale CA US for google llc, Vicki Vishwanath Amin of San Jose CA US for google llc
IPC Code(s): H04L67/125, G06F8/61, G06F8/65, H04L9/40, H04W72/02
CPC Code(s): H04L67/125
Abstract: a first computing device signed into a user account may determine a management action to be performed by a second computing device signed into the user account to manage one or more applications installed at the second computing device. the first computing device may select a communication channel for sending a request to perform the management action to the second computing device. the first computing device may send, to the second computing device via the communication channel, the request to perform the management action to manage the one or more applications installed at the second computing device.
20250119577. CHROMA INTRA PREDICTION WITH FILTERING_simplified_abstract_(google llc)
Inventor(s): Xiang Li of Saratoga CA US for google llc, Debargha Mukherjee of Cupertino CA US for google llc, Yaowu Xu of Saratoga CA US for google llc, Jingning Han of Santa Clara CA US for google llc
IPC Code(s): H04N19/593, H04N19/11, H04N19/117, H04N19/119, H04N19/136, H04N19/176, H04N19/184, H04N19/186
CPC Code(s): H04N19/593
Abstract: encoding using chroma intra prediction with filtering includes encoding a current block from a current frame, which includes obtaining a first chroma prediction value for a current chroma pixel using a current spatial intra prediction mode, obtaining a current luma prediction value for a current luma pixel collocated with the current chroma pixel, obtaining a second chroma prediction value for the current chroma pixel for the current chroma component by applying derived filter coefficients to the current luma prediction value, obtaining, as a third chroma prediction value for the current chroma pixel for the current chroma component, a weighted average of the first chroma prediction value and the second chroma prediction value, obtaining encoded chroma pixel data for the current chroma pixel by encoding the current chroma pixel using the third chroma prediction value, and including the encoded chroma pixel data in the encoded block data.
Inventor(s): Dongeek Shin of San Jose CA US for google llc
IPC Code(s): H04N21/25, G06F16/432, G06T11/00
CPC Code(s): H04N21/25
Abstract: this document describes systems and techniques for presenting intermediate media to a user that has presented a media request. in aspects, a media request for requested media is received from an input device. the media request is provided to a media service to serve the requested media to a requested device. the media request is processed to identify attributes of the media request indicative of a subject matter of the requested media. based on the identified attributes of the media request, intermediate media is accessed including one or more images related to the identified attributes. the intermediate media is delivered to the requested device. accordingly, the intermediate media provides content to engage the user while the user waits for the requested media to be delivered.
20250119702. SPATIAL AUDIO FOR WEARABLE DEVICES_simplified_abstract_(google llc)
Inventor(s): Mugur Marculescu of Palo Alto CA US for google llc, John D. Muir of Foster City CA US for google llc, Pierric Gimmig of Sunnyvale CA US for google llc
IPC Code(s): H04S7/00, H04R5/033, H04R5/04
CPC Code(s): H04S7/304
Abstract: spatial audio is rendered at a companion device or server connected to a wearable device, where the spatial audio is rendered based on a first pose estimate of the wearable device that is estimated at the companion device or server. the rendered spatial audio is then transmitted to the wearable device. the rendered spatial audio is refined at the wearable device based on a second pose estimate of the wearable device that is estimated at the wearable device. the refined spatial audio is then provided for playback via speakers of the wearable device.
20250119954. RANDOM-ACCESS CHANNEL PROCEDURE USING NEURAL NETWORKS_simplified_abstract_(google llc)
Inventor(s): Jibing Wang of San Jose CA US for google llc, Erik Richard Stauffer of Sunnyvale CA US for google llc
IPC Code(s): H04W74/0833, G06N3/045, G06N3/096
CPC Code(s): H04W74/0833
Abstract: a wireless communication system employs dnns or other neural networks to provide for rach techniques. a tx dnn at user equipment (ue) generates and provides for wireless transmission of a random access (ra) signal to a base station (bs). a bs receives the ra signal as input, and from this input generates and provides for wireless transmission of an ra response signal to the ue.
- Google LLC
- A61B5/00
- CPC A61B5/4812
- Google llc
- A63B24/00
- CPC A63B24/0075
- A63F13/55
- CPC A63F13/55
- G01N1/10
- G01N1/38
- CPC G01N1/10
- G01R33/00
- CPC G01R33/0017
- F21V8/00
- G02B26/10
- G02B27/00
- G02B27/01
- CPC G02B6/0016
- G02C11/00
- G09G3/00
- CPC G02B27/0176
- G06F3/16
- H03G3/30
- CPC G06F3/165
- G06F8/61
- CPC G06F8/61
- G06F9/38
- CPC G06F9/3836
- G06F9/451
- CPC G06F9/451
- H04L41/022
- H04L41/0803
- G10L15/22
- H04L12/28
- CPC G06F9/453
- G06F16/182
- G06F16/11
- G06F16/13
- G06F16/16
- G06F21/62
- CPC G06F16/1824
- G06F16/2453
- G06F40/40
- CPC G06F16/24535
- CPC G06F21/6245
- G06F40/109
- G06F3/04847
- CPC G06F40/109
- G06F40/166
- CPC G06F40/166
- G06F3/0483
- G06F3/0484
- G06F40/169
- CPC G06F40/40
- G06N10/60
- G06N10/70
- CPC G06N10/40
- G06N20/00
- G06F3/01
- G06F3/04886
- CPC G06N20/00
- G06T3/4053
- G06T3/4046
- CPC G06T3/4053
- G06T5/60
- G06T3/40
- G06T5/50
- CPC G06T5/60
- G06V10/80
- G06F40/284
- G06V10/82
- G06V20/40
- G10L15/02
- G10L25/18
- G10L25/57
- CPC G06V10/806
- G06F18/21
- G06F18/213
- G06F18/28
- G06N3/04
- G06N3/084
- G06V10/56
- G06V10/77
- CPC G06V10/82
- G09G3/20
- G09G3/32
- CPC G09G3/2003
- G10L13/08
- G10L15/26
- CPC G10L13/08
- G10L15/06
- G10L15/04
- G10L15/16
- CPC G10L15/063
- G10L15/07
- G10L25/30
- G06F40/20
- CPC G10L15/22
- G10L21/0216
- G10L21/0208
- CPC G10L21/0216
- G16H15/00
- G06N3/08
- G16H50/20
- CPC G16H15/00
- H01Q1/27
- H01Q1/48
- CPC H01Q1/273
- H02J50/80
- H02J50/12
- CPC H02J50/80
- H04L1/1812
- H04L1/1803
- H04L5/00
- CPC H04L1/1816
- H04L9/08
- H04L9/14
- H04L9/40
- CPC H04L9/088
- H04L47/34
- H04L47/125
- H04L47/50
- CPC H04L47/34
- H04L67/125
- G06F8/65
- H04W72/02
- CPC H04L67/125
- H04N19/593
- H04N19/11
- H04N19/117
- H04N19/119
- H04N19/136
- H04N19/176
- H04N19/184
- H04N19/186
- CPC H04N19/593
- H04N21/25
- G06F16/432
- G06T11/00
- CPC H04N21/25
- H04S7/00
- H04R5/033
- H04R5/04
- CPC H04S7/304
- H04W74/0833
- G06N3/045
- G06N3/096
- CPC H04W74/0833
