Low Power Computing refers to the design and operation of computing systems that minimize energy consumption while maintaining required performance levels. It involves hardware and software techniques such as energy-efficient processors, dynamic voltage and frequency scaling, power gating, and optimized algorithms. Low power computing is critical in applications such as mobile devices, embedded systems, edge AI, and large-scale data centers where energy efficiency, thermal limits, and battery life are key constraints.

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Eric C. Blow to Deliver Photonic AI Keynote at COOL Chips 29 in Tokyo on April 17th

Eric C. Blow of NEC Laboratories America presents a keynote at COOL Chips 29 in Tokyo, exploring multi-modal photonic computing for real-time, ultra-efficient inference. This work highlights how photonics is reshaping AI performance, enabling faster and more energy-efficient processing across next-generation systems.