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HamQ: Hamming Weight-based Energy Aware Quantization for Analog Compute-In-Memory Accelerator in Intelligent Sensors

Sudarshan Sharma,Beomseok Kang,Narasimha Vasishta Kidambi,Saibal Mukhopadhyay

IEEE Sensors Journal（2024）

Cited 0|Views23
Key words
Intelligent Sensors,Compute-In-Memory,Deep Neural Networks,Hamming weight,TinyML,Quantization
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