UMass Amherst Engineers Make Edge AI More Efficient by Redesigning Both Algorithm and Hardware

UMass Amherst Engineers Make Edge AI More Efficient by Redesigning Both Algorithm and Hardware Researchers in the Riccio College of Engineering at the University of Massachusetts Amherst have demonstrated that redesigning both the hardware and the algorithm can make AI applications on edge devices more efficient. As proof of concept, their system achieved 95.24% accuracy […]

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* This article was originally published here

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