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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

Scrambler therapy: A new non-invasive treatment for chronic pain

A new review paper co-authored by two Johns Hopkins pain experts suggests that scrambler therapy, a noninvasive pain treatment, can yield significant relief for approximately 80%–90% of patients with chronic pain, and it may be more effective than another noninvasive therapy: transcutaneous electrical nerve stimulation (TENS).
Thomas Smith Lily Ramsey Harryj Duffey Chan Wang Johns Hopkins Eric Jyun

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