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91.发明申请公开(公告)号：US20250118401A1
公开(公告)日：2025-04-10
申请号：US17143083
申请日：2021-01-06
Applicant: Google LLC
Inventor： Edward Choi , Andrew M. Dai , Gerardo Flores , Yuan Xue , Michael Ward Dusenberry , Zhen Xu , Yujia Li
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.
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公开(公告)号：US20250118293A1
公开(公告)日：2025-04-10
申请号：US18891615
申请日：2024-09-20
Applicant: Google LLC
Inventor： Mingqing Chen , Rajiv Mathews , Andrew Hard , Swaroop Ramaswamy , Kilol Gupta
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.
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公开(公告)号：US20250118237A1
公开(公告)日：2025-04-10
申请号：US18905386
申请日：2024-10-03
Applicant: GOOGLE LLC
Inventor： Bo Li , Kaushik Indravadan Sheth
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.
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公开(公告)号：US20250118060A1
公开(公告)日：2025-04-10
申请号：US18900473
申请日：2024-09-27
Applicant: Google LLC
Inventor： Mingyan Gao , Tao Zhu , Hui Miao , Ye Jin , Bibang Liu , Qiao Zhang , Jeffrey Daniel Forrester
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.
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公开(公告)号：US20250117893A1
公开(公告)日：2025-04-10
申请号：US18908549
申请日：2024-10-07
Applicant: Google LLC
Inventor： David Steiner , Ellery Alyosha Wulczyn , Po-Hsuan Chen , Ronnachai Jaroensri , Supriya Vijay , Jeremy Lai , Saloni Agarwal , Yun Liu , Faruk Ahmed
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.
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Patent Agency Ranking
公开(公告)号：US20250117594A1
公开(公告)日：2025-04-10
申请号：US18480728
申请日：2023-10-04
Applicant: Google LLC
Inventor： Victor Carbune , Ondrej Škopek
IPC: G06F40/40 , G06F3/0483 , G06F3/0484 , G06F40/109 , G06F40/169
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.
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公开(公告)号：US20250117573A1
公开(公告)日：2025-04-10
申请号：US18480969
申请日：2023-10-04
Applicant: GOOGLE LLC
Inventor： Benjamin Albert Azose , Max Benjamin Christoff
IPC: 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.
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公开(公告)号：US20250117381A1
公开(公告)日：2025-04-10
申请号：US18908392
申请日：2024-10-07
Applicant: GOOGLE LLC
Inventor： Asaf Revach , Hongrae Lee , Zhengzhong Liang
IPC: G06F16/2453 , G06F40/40
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.
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公开(公告)号：US20250117367A1
公开(公告)日：2025-04-10
申请号：US18983302
申请日：2024-12-16
Applicant: Google LLC
Inventor： Navneet Joneja
IPC: G06F16/182 , G06F16/11 , G06F16/13 , G06F16/16 , G06F21/62
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.
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公开(公告)号：US20250117233A1
公开(公告)日：2025-04-10
申请号：US18988790
申请日：2024-12-19
Applicant: Google LLC
Inventor： Vu Nguyen , Chen Li , Katherine Huang , Gongpu Zhu , Zewen Li , Javier Kohen
IPC: G06F9/451 , H04L41/022 , H04L41/0803
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.
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