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公开(公告)号:US20250004628A1
公开(公告)日:2025-01-02
申请号:US18343271
申请日:2023-06-28
Applicant: GOOGLE LLC
Inventor: Megha Malpani , Ryosuke Matsumoto , Guoxing Zhao , Jonathon Leigh Napper , Megan L. Fu , Nikhil Siva Subash , Gary Hyun Jin Kim , Alex Newcomer , Joseph Kurachi Luk
IPC: G06F3/04847
Abstract: A method may determine that an application with access to a media input resource has been launched by a user. A method may in response to determining that the application is launched, initiate a display of a settings user interface including a control for modifying a media input resource setting accessible via the operating system. A method may control transmission of a media output to the application based on the media input resource setting.
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公开(公告)号:US20240377932A1
公开(公告)日:2024-11-14
申请号:US18660194
申请日:2024-05-09
Applicant: GOOGLE LLC
Inventor: Guoxing Zhao , Curtis William McMullan , Dac Thanh Chuong Ho , Mehrab Norouzitallab , Robert Schonberger , Yuncheng Shen , Zachary Webb Partridge , David-Jordi Vallet Weadon , Omri Amarilio
IPC: G06F3/04842 , G06F40/40
Abstract: A method may receive a selection of content. A method may, in response to receiving the selection, providing a prompt based on the selection and context relating to the selection. A method may display the prompt. A method may, in response to receiving a selection of the prompt, generating output by providing the content and the prompt as input to a language model. A method may display the output.
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公开(公告)号:US20230196836A1
公开(公告)日:2023-06-22
申请号:US17985275
申请日:2022-11-11
Applicant: GOOGLE LLC
Inventor: Megha Malpani , Jon Napper , Alan Green , Aneesha Govil , Stuart Langley , Ken Hoetmer , Christopher Igo , Fei Wu , Jakub Mlynarczyk , Evan Benn , Edward O'Callaghan , Andrew McRae , David Lattimore , Dan Callaghan , Eddy Chen , Boris Lee , Tim Callahan , Guoxing Zhao , Rachael Morgan , Michael Martis , Sitar Harel , Ryosuke Matsumoto
CPC classification number: G06V40/20 , G06F3/011 , G06F3/017 , G06T5/002 , G06T7/20 , G06V40/172 , G06T2207/10016 , G06T2207/30201
Abstract: The technology provides a computing device having a human presence sensor module. An image sensor of the human presence sensor module captures imagery, and the imagery is not disseminated outside of the human presence sensor module to another part of the computing device. One or more machine learning models, each trained to identify whether one or more persons are present in the imagery, are retrieved from memory within the human presence sensor module. The imagery received from the image sensor is processed using the one or more machine learning models to determine whether one or more persons are present in the imagery. Upon detection that one or more persons are present in the imagery, the human presence sensor module issues a signal to an operating system of the computing device so that the computing device can respond to that presence by performing one or more actions.
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