Pairing their Asynchronous Coded Electronic Skin (ACES) with the Intel Loihi neuromorphic research processor, National University of Singapore researchers demonstrate the ability of a robotic hand to read braille. Loihi achieved over 92 percent accuracy in classifying the Braille letters based on sensory data from the skin, while using 20 times less power than a standard Von Neumann processor. The work shows great promise for neuromorphic computing to serve as a “brain” in future robots and help enable human-like sensing that doesn’t exist today. (Credit: National University of Singapore)
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