NEUROMORPHIC SYSTEM AND OPERATING METHOD THEREOF

    公开(公告)号:US20200012925A1

    公开(公告)日:2020-01-09

    申请号:US16454881

    申请日:2019-06-27

    IPC分类号: G06N3/063 G06N3/08 G06N5/04

    摘要: A neuromorphic system includes an address translation device that translates an address corresponding to each of synaptic weights between presynaptic neurons and postsynaptic neurons to generate a translation address, and a plurality of synapse memories that store the synaptic weights based on the translation address. The translation address is generated such that at least two of synaptic weights corresponding to each of the postsynaptic neurons are stored in different synapse memories of the plurality of synapse memories and such that at least two of synaptic weights corresponding to each of the presynaptic neurons are stored in different synapse memories.

    Time-delayed convolutions for neural network device and method

    公开(公告)号:US11521046B2

    公开(公告)日:2022-12-06

    申请号:US16170081

    申请日:2018-10-25

    IPC分类号: G06N3/063 G06N3/04

    摘要: A method of performing operations on a plurality of inputs and a same kernel using a delay time by using a same processor, and a neural network device thereof are provided, the neural network device includes input data including a first input and a second input, and a processor configured to obtain a first result by performing operations between the first input and a plurality of kernels, to obtain a second result by performing operations between the second input, which is received at a time delayed by a first interval from a time when the first input is received, and the plurality of kernels, and to obtain output data using the first result and the second result. The neural network device may include neuromorphic hardware and may perform convolutional neural network (CNN) mapping.