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    SPLIT-COMPUTE ARCHITECTURE
    3.
    发明申请
    SPLIT-COMPUTE ARCHITECTURE 有权

    公开(公告)号：US20250028570A1

    公开(公告)日：2025-01-23

    申请号：US18909624

    申请日：2024-10-08

    Applicant: GOOGLE LLC

    Inventor： Mark Sander Urbanus ,  Patrick Plunkett ,  Charlie Gengzao Wang ,  Meltem Oktem ,  James Carr

    IPC: G06F9/50 ,  G06F9/54

    Abstract: A method including initiating a computing process on a wearable device, the computing process including a plurality of tasks, identifying a companion device and determining that the companion device is available to perform at least one task of the plurality of tasks, causing the companion device to perform the at least one task including communicating data generated by the wearable device to the companion device, receiving, by the wearable device, a result associated with a completion of the at least one task by the companion device, and completing, by the wearable device, the computing process based on the result associated with the completion of the at least one task.

    Modality Learning On Mobile Devices
    4.
    发明申请
    Modality Learning On Mobile Devices 有权

    公开(公告)号：US20220413696A1

    公开(公告)日：2022-12-29

    申请号：US17823545

    申请日：2022-08-31

    Applicant: Google LLC

    Inventor： Yu Ouyang ,  Diego Melendo Casado ,  Mohammadinamul Hasan Sheik ,  Francoise Beaufays ,  Dragan Zivkovic ,  Meltem Oktem

    IPC: G06F3/04886 ,  G06F3/16 ,  G06F1/16 ,  G06F3/023 ,  G06F3/04883 ,  G06F40/166 ,  G06F40/289

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for cross input modality learning in a mobile device are disclosed. In one aspect, a method includes activating a first modality user input mode in which user inputs by way of a first modality are recognized using a first modality recognizer; and receiving a user input by way of the first modality. The method includes, obtaining, as a result of the first modality recognizer recognizing the user input, a transcription that includes a particular term; and generating an input context data structure that references at least the particular term. The method further includes, transmitting, by the first modality recognizer, the input context data structure to a second modality recognizer for use in updating a second modality recognition model associated with the second modality recognizer.

    Spatial and semantic augmented reality autocompletion in an augmented reality environment
    9.
    发明授权
    Spatial and semantic augmented reality autocompletion in an augmented reality environment 有权

    公开(公告)号：US11158128B2

    公开(公告)日：2021-10-26

    申请号：US16395505

    申请日：2019-04-26

    Applicant: GOOGLE LLC

    Inventor： Roza Chojnacka ,  Meltem Oktem ,  Rajan Patel ,  Uday Idnani ,  Xiyang Luo

    IPC: G06T19/00 ,  G06K9/62 ,  G06T7/60 ,  G06K9/00 ,  G06T7/73

    Abstract: A system and method may provide for spatial and semantic auto-completion of an augmented or mixed reality environment. The system may detect physical objects in a physical environment based on analysis of image frames captured by an image sensor of a computing device. The system may detect spaces in the physical environment that are occupied by the detected physical objects, and may detect spaces that are unoccupied in the physical environment. Based on the identification of the detected physical objects, the system may gain a semantic understanding of the physical environment, and may determine suggested objects for placement in the physical environment based on the semantic understanding. The system may place virtual representations of the suggested objects in a mixed reality scene of the physical environment for user consideration.

    Modality learning on mobile devices
    10.
    发明授权
    Modality learning on mobile devices 有权

    公开(公告)号：US10831366B2

    公开(公告)日：2020-11-10

    申请号：US15393676

    申请日：2016-12-29

    Applicant: Google LLC

    Inventor： Yu Ouyang ,  Diego Melendo Casado ,  Mohammadinamul Hasan Sheik ,  Francoise Beaufays ,  Dragan Zivkovic ,  Meltem Oktem

    IPC: G06F3/0488 ,  G06F3/16 ,  G06F1/16 ,  G06F3/023 ,  G06F40/166 ,  G06F40/289 ,  G10L15/22

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for cross input modality learning in a mobile device are disclosed. In one aspect, a method includes activating a first modality user input mode in which user inputs by way of a first modality are recognized using a first modality recognizer; and receiving a user input by way of the first modality. The method includes, obtaining, as a result of the first modality recognizer recognizing the user input, a transcription that includes a particular term; and generating an input context data structure that references at least the particular term. The method further includes, transmitting, by the first modality recognizer, the input context data structure to a second modality recognizer for use in updating a second modality recognition model associated with the second modality recognizer.

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