Abstract: Compute-In-Memory (CiM) is emerging as a promising paradigm to design energy-efficient hardware accelerators for AI, addressing the processor-memory data transfer bottleneck. The popularity ...
Abstract: Memristive systems have many promising features, making them suitable for both storage and computation. Memristors can perform logical operations and they can be used as the basic structures ...
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