DISPLAY APPARATUS
    13.
    发明申请

    公开(公告)号:US20210240039A1

    公开(公告)日:2021-08-05

    申请号:US17162701

    申请日:2021-01-29

    Abstract: A display apparatus includes a display panel configured to display an image; a light source module provided behind a rear surface of the display panel and configured to emit light to the display panel, the light source module including a glass substrate and a light source provided behind a rear surface of the glass substrate; and a rear chassis covering the display panel and the light source module, wherein the light source is provided between the glass substrate and the rear chassis.

    NEUROMORPHIC METHOD AND APPARATUS WITH MULTI-BIT NEUROMORPHIC OPERATION

    公开(公告)号:US20200074286A1

    公开(公告)日:2020-03-05

    申请号:US16556424

    申请日:2019-08-30

    Abstract: A neuromorphic apparatus configured to process a multi-bit neuromorphic operation including a single axon circuit, a single synaptic circuit, a single neuron circuit, and a controller. The single axon circuit is configured to receive, as a first input, an i-th bit of an n-bit axon. The single synaptic circuit is configured to store, as a second input, a j-th bit of an m-bit synaptic weight and output a synaptic operation value between the first input and the second input. The single neuron circuit is configured to obtain each bit value of a multi-bit neuromorphic operation result between the n-bit axon and the m-bit synaptic weight, based on the output synaptic operation value. The controller is configured to respectively determine the i-th bit and the j-th bit to be sequentially assigned for each time period of different time periods to the single axon circuit and the single synaptic circuit.

    NEURAL NETWORK DEVICE AND METHOD
    18.
    发明申请

    公开(公告)号:US20190138892A1

    公开(公告)日:2019-05-09

    申请号:US16170081

    申请日:2018-10-25

    Abstract: 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.

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