Thermodynamic Computing Could Cut AI Energy Use by Orders of Magnitude
Berkeley Lab researchers demonstrate neural networks powered by thermal noise instead of electricity, potentially slashing AI energy consumption.
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Berkeley Lab researchers demonstrate neural networks powered by thermal noise instead of electricity, potentially slashing AI energy consumption.
The first US open-access neuromorphic computing hub launches with 400,000 processors simulating 393 million neurons