A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
Abstract: General-purpose edge neural networks require a lightweight architecture, delivering both suitable memory capacity and compute resources. Typically, the SRAM-based computing-in memory (CIM) ...
Abstract: In recent years, Compute-in-memory (CiM) architectures have emerged as a promising solution for deep neural network (NN) accelerators. Multiply-accumulate (MAC) is considered a de facto unit ...
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