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Video s3
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    Presenter(s)
    Junjie Mu Headshot
    Display Name
    Junjie Mu
    Affiliation
    Affiliation
    Nanyang Technological University
    Country
    Abstract

    In this work, we propose a logic-compatible AND eFlash cell structure for in-memory computation of artificial neural networks (ANNs) using multiple 3T eFlash bitcells and shared access transistors. The proposed AND eFlash cell array is used for computing dot-products between binary inputs and reconfigurable bit-precision weights.

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