Abstract: Artificial intelligence (AI) edge devices demand high energy efficiency as well as inference accuracy. SRAM-based compute-in-memory (CIM) accelerators have great potential for power ...
Rudransh Mishra applies a Japanese railway method to tackle exam stress. This simple technique enhances memory recall and reduces careless mistakes in board exams. With board exams approaching, ...
Abstract: This work presents a 1-8b reconfigurable digital SRAM compute-in-memory (CIM) macro, which significantly improves array utilization and energy efficiency under different input and weight ...
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