MODEL ARCHITECTURE SEARCH AND OPTIMIZATION FOR HARDWARE

    公开(公告)号:US20220376719A1

    公开(公告)日:2022-11-24

    申请号:US17732809

    申请日:2022-04-29

    Abstract: Systems, devices, and methods related to using model architecture search for hardware configuration are provided. A method includes receiving, by a computer-implemented system, information associated with a pool of processing units; receiving, by the computer-implemented system, a data set associated with a data transformation operation; training, based on the data set and the information associated with the pool of processing units, a parameterized model associated with the data transformation operation, where the training includes updating at least one parameter of the parameterized model associated with configuring at least a subset of the processing units in the pool; and outputting, based on the training, one or more configurations for at least the subset of the processing units in the pool.

    MODEL ARCHITECTURE SEARCH AND OPTIMIZATION FOR HARDWARE

    公开(公告)号:US20220376659A1

    公开(公告)日:2022-11-24

    申请号:US17732715

    申请日:2022-04-29

    Abstract: Systems, devices, and methods related to using model architecture search for hardware configuration are provided. An example apparatus includes an input node to receive an input signal; a pool of processing units to perform one or more arithmetic operations and one or more signal selection operations, wherein each of the processing units in the pool is associated with at least one parameterized model corresponding to a data transformation operation; and a control block to configure, based on a first parameterized model, a first subset of the processing units in the pool, where the first subset of the processing units processes the input signal to generate a first signal.

    TECHNIQUE FOR ESTIMATION OF INTERNAL BATTERY TEMPERATURE

    公开(公告)号:US20220334185A1

    公开(公告)日:2022-10-20

    申请号:US17712416

    申请日:2022-04-04

    Abstract: One embodiment is a method for estimating an internal temperature of a battery, the method comprising obtaining multiple terminal impedance measurements for the battery, wherein each of the terminal impedance measurements is obtained at a different one of a plurality of frequencies; automatically selecting one of a plurality of battery models using on a value of a parameter of the battery, wherein each of the battery models has been trained and corresponds to a different range of values for the battery parameter and wherein the value of the parameter of the battery falls within the range of values for the battery parameter corresponding to the selected one of the plurality of battery models; and applying the selected one of the plurality of battery models to the multiple terminal impedance measurements to estimate the internal temperature of the battery.

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