#energy-efficiency

Penn researchers demonstrated optical signal switching using exciton-polaritons — hybrid light-matter particles — consuming roughly 4 femtojoules per operation. The breakthrough removes a key obstacle to fully optical AI inference hardware.

Researchers have built a thermodynamic computer that generates images from noise using orders of magnitude less energy than current generative AI models, offering a radically different approach to AI hardware.