Researchers have created a nanoelectronic device that uses switching currents about a million times lower than conventional designs, reducing energy use in AI hardware by up to 70%. Inspired by the human brain, it performs reliably across thousands of cycles and can store data for about a day, pointing to more efficient computing.
(c) Brett Sayles

Un nanodispositif pourrait réduire de 70% l’énergie de l’IA

TECH XPLORE

Des chercheurs ont mis au point un dispositif nanoélectronique utilisant des courants jusqu’à un million de fois plus faibles que les systèmes classiques, permettant de réduire jusqu’à 70% la consommation d’énergie de l’IA. Inspiré du cerveau humain, il reste stable et conserve les données environ un jour.

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