METHOD AND SYSTEM FOR DESIGNING CIRCUIT BASED ON REINFORCEMENT LEARNING

    公开(公告)号:US20240220701A1

    公开(公告)日:2024-07-04

    申请号:US18533798

    申请日:2023-12-08

    CPC classification number: G06F30/392 G06N20/00

    Abstract: Disclosed is a method and system for designing a circuit. The method of designing a circuit based on reinforcement learning may include obtaining a state variable of the reinforcement learning, obtaining output data by performing a simulation based on the state variable, calculating a reward variable of the reinforcement learning based on the output data, obtaining an action variable from an agent based on the state variable and the reward variable, training the agent based on the state variable, the reward variable, and the action variable, and updating the state variable based on the action variable, wherein the calculating of the reward variable includes estimating a variation of the circuit based on the state variable, and calculating the reward variable based on the estimated variation.

    NEURAL SELF-CORRECTED MIN-SUM DECODER AND AN ELECTRONIC DEVICE COMPRISING THE DECODER

    公开(公告)号:US20220385305A1

    公开(公告)日:2022-12-01

    申请号:US17872692

    申请日:2022-07-25

    Abstract: An electronic device and an operating method of an electronic device are provided. The operating method includes configuring a self-correction condition for adjusting an information deletion and dropout rate, performing iterative decoding on the received information using decoding factors and a self-correction technique, determining whether decoding of the codeword succeeds or fails, based on a result of the decoding, storing a received signal and the codeword which are successfully decoded, based on a determination result, and optimizing the decoding factors, based on the stored received signal and codeword.

    ELECTRONIC DEVICE AND OPERATING METHOD THEREOF

    公开(公告)号:US20230213896A1

    公开(公告)日:2023-07-06

    申请号:US18105320

    申请日:2023-02-03

    CPC classification number: G05B13/0265

    Abstract: An operating method of an electronic device includes receiving a request to control of at least one application that is providable by the electronic device, obtaining second information according to a machine learning model based on first information corresponding to a history of use regarding the at least one application and at least one support element. The machine learning model predicts at least a probability of use of the at least one support element which supports execution of the at least one application based on the first information, and the method executes a function corresponding to the request to control the at least one application to be provided by the electronic device, based on the second information including at least the probability of use of the at least one support element which supports the execution of the at least one application.

    METHODS AND SYSTEMS FOR DESIGNING INTEGRATED CIRCUITS

    公开(公告)号:US20240242014A1

    公开(公告)日:2024-07-18

    申请号:US18537654

    申请日:2023-12-12

    CPC classification number: G06F30/392

    Abstract: Provided is a method of designing an integrated circuit, the method including generating a layout based on data defining a circuit, receiving at least one state variable of reinforcement learning, and updating the layout based on the at least one state variable, wherein the updating of the layout includes modifying the circuit based on the at least one state variable, synchronizing the circuit with the layout, performing a post-layout simulation based on a result of the synchronization, calculating result value of the simulation, and determining whether to modify the at least one state variable through the reinforcement learning according to the result value.

    DITHERING DEVICE
    6.
    发明申请

    公开(公告)号:US20240386832A1

    公开(公告)日:2024-11-21

    申请号:US18442433

    申请日:2024-02-15

    Abstract: A dithering device configured to count a frame, a row, and a column of input image data based on an enable signal and generate count data, generate a plurality of random numbers based on a first seed, store a first random number to a third random number selected based on the count data, among the plurality of random numbers, the first random number corresponding to a frame period associated with the frame, the second random number corresponding to a row period associated with the row, and the third random number corresponding to a column period associated with the column, generate a dithering mask for n-bit dithering (where n is a positive integer) using a single random number, among the first random number to the third random number, as a second seed, and apply the dithering mask to the input image data to perform the n-bit dithering.

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