SYSTEMS AND METHODS FOR DYNAMIC HARDWARE CONFIGURATION

    公开(公告)号:US20220366278A1

    公开(公告)日:2022-11-17

    申请号:US17320978

    申请日:2021-05-14

    Applicant: Apple Inc.

    Abstract: Systems and methods for configuring hardware resources of an electronic device based on operating characteristics of the electronic device are provided. In one embodiment, a processor may configure the hardware resources of the electronic device that equally weighs decisions made by a machine learning (ML) engine and a finite state machine (FSM) engine. In another embodiment, the processor may configure the hardware resources of the electronic device that gives greater weight to decisions made by the ML engine compared to decisions made by the FSM engine. In yet another embodiment, the processor may configure the hardware resources of the electronic device that gives greater weight to decisions made by the FSM engine compared to decisions made by the ML engine.

    UNSUPERVISED ANOMALY DETECTION
    5.
    发明申请

    公开(公告)号:US20190243743A1

    公开(公告)日:2019-08-08

    申请号:US15968684

    申请日:2018-05-01

    Applicant: Apple Inc.

    CPC classification number: G06F11/3612 G06F16/2365 G06N3/0445 G06N3/0472

    Abstract: The subject technology extracts features from each log line of a log file. The subject technology determines, based on the features, a sequence of log lines. The subject technology determines probabilities of log lines occurring within a window of time from a respective log line from the sequence of log lines, and determines probabilities of periods of time within the window of time that a next log line will occur after the respective log line. The subject technology segments log lines from the log file into sequences of log lines based on the probabilities of the set of log lines occurring within the window of time and the probabilities of periods of time that the next log line occurs after the respective log line. The subject technology determines a predicted subsequent log line, and detects an anomaly when an actual subsequent log line differs from the predicted subsequent log line.

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