Analog switched-capacitor neural network

    公开(公告)号:US12061977B2

    公开(公告)日:2024-08-13

    申请号:US17675617

    申请日:2022-02-18

    摘要: Systems and methods are provided for reducing power in in-memory computing, matrix-vector computations, and neural networks. An apparatus for in-memory computing using charge-domain circuit operation includes transistors configured as memory bit cells, transistors configured to perform in-memory computing using the memory bit cells, capacitors configured to store a result of in-memory computing from the memory bit cells, and switches, wherein, based on a setting of each of the switches, the charges on at least a portion of the plurality of capacitors are shorted together. Shorting together the plurality of capacitors yields a computation result.

    Data processing circuit and fault mitigating method

    公开(公告)号:US11978526B2

    公开(公告)日:2024-05-07

    申请号:US17705415

    申请日:2022-03-28

    摘要: A data processing circuit and a fault mitigating method are provided. The method is adapted for a memory having at least one fault bit. The memory provides a block for data storage. A difference between an output of a value of a plurality of bits input to at least one computing layer in a neural network and a correct value is determined. The bits are respectively considered the at least one fault bit. A repair condition is determined based on the difference. The repair condition includes a correspondence between a position where the fault bit is located in the block and at least one non-fault bit in the memory. A value of at least one non-fault bit of the memory replaces a value of the fault bit based on the repair condition.