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AI just got 100-fold more energy efficient

Northwestern engineers have developed a new nanoelectronic device that can perform accurate machine-learning classification tasks in the most energy-efficient manner yet. Using 100-fold less energy than current technologies, the device can crunch large amounts of data and perform artificial intelligence (AI) tasks in real time without beaming data to the cloud for analysis. ....

Chan Wang , Markc Hersam , Vinod Sangwan , Walterp Murphy , International Institute Of Nanotechnology , University Of Southern California , Northwestern University , Northwestern Mccormick School Of Engineering , Materials Research Science , Nature Electronics , Engineering Center , Department Of Materials Science , Materials Science , Mccormick School , International Institute , Southern California ,