Abstract: This letter presents an approximate digital compute-in-memory (CIM) macro for low-power edge AI inference. It introduces three hierarchical innovations: 1) novel fused approximate ...
Abstract: Neural Networks face challenges with traditional floating-point computing architectures due to complexity, power, and latency. This work presents a general-purpose multiple precision ...
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