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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

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Analog and digital: The best of both worlds i

We live in an analog world of continuous information flow that is both processed and stored by our brains at the same time, but our devices process information digitally in the form of discrete binary code, breaking the information into little bits (or bites). Researchers at EPFL have revealed a pioneering technology that combines the potential of continuous analog processing with the precision of digital devices. By seamlessly integrating ultra-thin, two-dimensional semiconductors with ferroele...
Sadegh Kamaei Adrian Ionescu Microsystems Laboratory Nanoelectronics Device Laboratory Nature Electronics Dimensional Semiconductors For The Integration Of Steep

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