LOW-POWER AMBIENT COMPUTING SYSTEM WITH MACHINE LEARNING

    公开(公告)号:US20200278738A1

    公开(公告)日:2020-09-03

    申请号:US16479901

    申请日:2018-11-21

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, for handling applications in an ambient computing system. One of the methods includes determining, by a low-power processing component, that particular sensor signals have a particular property. In response, a machine learning engine performs an inference pass over a machine learning model using the sensor signals to generate a model output. If the model output of the machine learning engine matches an application-specific condition, one or more of the other processing components are activated to execute an particular application corresponding to the application-specific condition.

    LOW-POWER AMBIENT COMPUTING SYSTEM WITH MACHINE LEARNING

    公开(公告)号:US20220066536A1

    公开(公告)日:2022-03-03

    申请号:US17523332

    申请日:2021-11-10

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, for handling applications in an ambient computing system. One of the methods includes determining, by a low-power processing component, that particular sensor signals have a particular property. In response, a machine learning engine performs an inference pass over a machine learning model using the sensor signals to generate a model output. If the model output of the machine learning engine matches an application-specific condition, one or more of the other processing components are activated to execute an particular application corresponding to the application-specific condition.

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