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

Nano device could cut AI hardware energy use by up to 70%

TECH XPLORE

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.

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