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Video: National University of Singapore Uses Robotic Hand with Intel Tech to Read Braille

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)

More: Singapore Researchers Look to Intel Neuromorphic Computing to Help Enable Robots That ‘Feel’