AIBullishIEEE Spectrum – AI · Jan 277/106
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Thermodynamic Computing Slashes AI-Image Energy Use
Researchers at Lawrence Berkeley National Laboratory have developed thermodynamic computing techniques that could generate AI images using one ten-billionth the energy of current methods. The approach uses physical circuits that respond to natural thermal noise instead of energy-intensive digital neural networks, though the technology remains rudimentary compared to existing AI image generators like DALL-E.
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