Peripheral circuit and system supporting RRAM-based neural network training

    公开(公告)号:US11409438B2

    公开(公告)日:2022-08-09

    申请号:US16545932

    申请日:2019-08-20

    Abstract: A peripheral circuit includes a data preparation circuit, configured to selectively import, to a row or column of the resistive random access memory (RRAM) crossbar array based on a first control signal, preprocessed data obtained by first preprocessing on first data that is input into the data preparation circuit, a data selection circuit, configured to selectively export second data from the row or column of the RRAM crossbar array based on a second control signal, and perform second preprocessing on the second data to obtain third data, a data reading circuit, configured to: perform a weight update control operation, and perform a max pooling operation on fourth data that is input into the data reading circuit, to obtain fifth data, and a reverse training computation circuit, configured to calculate an error and a derivative of sixth data that is input into the reverse training computation circuit.

    Prompt Method and Portable Device
    62.
    发明申请

    公开(公告)号:US20200269769A1

    公开(公告)日:2020-08-27

    申请号:US16650072

    申请日:2017-09-28

    Abstract: This application provides a prompt method, applied to a portable device adsorbed on a magnetic holder. The method includes: a display of the portable device being off; and detecting, by the portable device, that a parameter related to a magnetic induction intensity deviates from a preset threshold range, lightening the display of the portable device when, before, or after outputting a voice prompt, and displaying, on the display, prompt information about moving the portable device. By using this method, a user can learn, in time, that the adsorption of the portable device on the magnetic holder is unstable, and move the portable device based on the prompt information, so that the portable device can be stably adsorbed on the magnetic holder, thereby effectively preventing the portable device from sliding down from the magnetic holder

    Communication method, base station, radio communication node, and user equipment

    公开(公告)号:US10129868B2

    公开(公告)日:2018-11-13

    申请号:US15589414

    申请日:2017-05-08

    Abstract: A communication method, a base station, a radio communication node, and a user equipment are provided. A base station determines first resource configuration information, where the first resource configuration information is used for indicating N radio resource sets that are used when N radio communication nodes separately perform communication with a user equipment UE, and the radio resource includes a time domain resource and/or a frequency domain resource. The base station sends the first resource configuration information to the UE, where the UE communicates with a corresponding transmission point by using respective radio resource sets of transmission points, and the respective radio resource sets of the transmission points do not intersect. Therefore, a base station does not need to schedule a radio resource, thereby lowering a delay requirement on a backhaul link and eliminating interference.

    IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS

    公开(公告)号:US20180247164A1

    公开(公告)日:2018-08-30

    申请号:US15964045

    申请日:2018-04-26

    Abstract: An image processing device and a method performed by the device are provided. The image processing device includes processors forming a partitioning unit, processors forming a partitioning unit, and memories shared by the partitioning unit and the classification unit. The partitioning unit obtains an image from a first memory, partitions the image into one or more areas, each area includes one or more objects to be classified, and saves information of the partitioning of the image in a second memory. The classification unit obtains the image from the first memory, obtains information of partitioning of the image from the second memory and classifies the objects in each area of the image to obtain a classification result of the image. The image processing device may further include a scheduling unit for controlling optimizing performance of the partitioning unit and the classification unit.

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