Abstract: Computing-In-Memory (CIM) is widely applied in neural networks due to its unique capability to perform multiply-and-accumulate operations within a circuit array. This process directly ...
Abstract: A seamless, reconfigurable, and highly parallel in-memory stochastic computing (SC) approach is proposed and experimentally demonstrated in resistive random access memory (RRAM) array. By ...
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