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University of Tokyo researchers developed a novel AI framework running on optical hardware to reduce energy consumption. Published in Nature Computational Science in 2026, the study combines SS-DFA training with a single-map architecture. The system matches complex neural networks while requiring far less computation, potentially lowering data center energy and water use.
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