Neural network and its information processing method, information processing system

    公开(公告)号:US12217164B2

    公开(公告)日:2025-02-04

    申请号:US16964435

    申请日:2018-02-24

    Abstract: A neural network and its information processing method, information processing system. The neural network includes N layers of neuron layers connected to each other one by one, except for a first layer of neuron layer, each of the neurons of the other neuron layers includes m dendritic units and one hippocampal unit; the dendritic unit includes a resistance value graded device, the hippocampal unit includes a resistance value mutation device, and the m dendritic units can be provided with different threshold voltage or current, respectively; and the neurons on the nth layer neuron layer are connected to the m dendritic units of the neurons on the n+1th layer neuron layer; wherein N is an integer larger than 3, m is an integer larger than 1, n is an integer larger than 1 and less than N.

    Compilation method, apparatus, computing device and medium

    公开(公告)号:US11803360B2

    公开(公告)日:2023-10-31

    申请号:US17517096

    申请日:2021-11-02

    CPC classification number: G06F8/443 G06F17/16 G06N3/10

    Abstract: A compilation method, a compilation apparatus suitable for an In-Memory Computing apparatus, a computing device and a storage medium. The compilation method includes: acquiring calculation information of an algorithm to be compiled; converting the algorithm to be compiled into the first intermediate representation according to the calculation information; mapping the first intermediate representation to the second intermediate representation; and compiling the algorithm to be compiled into instruction information recognized by the In-Memory Computing apparatus according to the hardware information, to make the In-Memory Computing apparatus execute the instruction information. The compilation method may compile the calculation information into instructions that may be directly executed by the In-Memory Computing apparatus, so as to realize the effect of accelerating the operations of various algorithms by using the In-Memory Computing apparatus.

    Generative adversarial network device and training method thereof

    公开(公告)号:US11574199B2

    公开(公告)日:2023-02-07

    申请号:US16699727

    申请日:2019-12-01

    Abstract: A generative adversarial network device and a training method thereof. The generative adversarial network device includes a generator and a discriminator. The generator is configured to generate a first sample according to an input data; the discriminator is coupled to the generator, and is configured to receive the first sample and be trained based on the first sample; the generator includes a first memristor array serving as a first weight array. The generative adversarial network device can omit a process of adding noise to fake samples generated by the generator, thereby saving training time, reducing resource consumption and improving training speed of the generative adversarial network.

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