Systems And Methods Of Sparsity Exploiting
    1.
    发明申请

    公开(公告)号:US20190042931A1

    公开(公告)日:2019-02-07

    申请号:US16041565

    申请日:2018-07-20

    申请人: Syntiant

    IPC分类号: G06N3/063 G06N3/04 G06N3/08

    摘要: Disclosed is a neuromorphic integrated circuit including, in some embodiments, a multi-layered neural network disposed in an analog multiplier array of two-quadrant multipliers. Each multiplier of the multipliers is wired to ground and draws a negligible amount of current when input signal values for input signals to transistors of the multiplier are approximately zero, weight values of the transistors of the multiplier are approximately zero, or a combination thereof. Also disclosed is a method of the neuromorphic integrated circuit including, in some embodiments, training the neural network; tracking rates of change for the weight values; determining if and how quickly certain weight values are trending toward zero; and driving those weight values toward zero, thereby encouraging sparsity in the neural network. Sparsity in the neural network combined with the multipliers wired to ground minimizes power consumption of the neuromorphic integrated circuit such that battery power is sufficient for power.