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Adaptive CPU frequency scaling for energy-efficient and sustainable edge computing under renewable energy uncertainty
Deep reinforcement learning improves CPU frequency scaling for edge computing systems powered by renewable energy, reducing prediction error by 35% and optimizing the energy-latency tradeoff.
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SCOPE: Real-Time Natural Language Camera Agent at the Edge
SCOPE integrates natural language processing with camera control for edge deployment, executing perception and planning locally without cloud dependencies.
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Kenyan stone tool users favored mass, edge length, and edge angle
Ethnographic study of Daasanach stone tool use identifies edge angle, mass, and edge length as key factors in cutting tool selection and performance.
