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Adaptive AI: Energy Efficient Multi-exit TinyML on Intelligent Vision Systems at the Edge
and-cluster-computingcomputer-vision-and-pattern-recognitiondistributedhardware-architectureparallel
Traditional TinyML systems for edge devices achieve high accuracy by relying on fixed-depth models that require a constant number of multiply-accumulate (MAC) operations regardless of the input complexity. This approach wastes critical resources in battery-powered Internet-of-Things (IoT) devices an
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