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Dec. 10, 2020 3:25 pm ET Experimental computer chips that try to mimic the way human brains work could accelerate the use of voice and gesture commands in automobiles, researchers at Intel Corp. and Accenture PLC say. The cutting-edge technique, known as neuromorphic computing, could use significantly less energy than traditional computer- and graphic-processing units that connect wirelessly to a car via the cloud. Today’s cars don’t have the AI capabilities to recognize many speech and gesture commands, in part because of the energy requirements necessary to make those functions work. Car makers are recognizing the need for AI methods that consume less energy, which is one reason why neuromorphic computing can be beneficial, said Tim Shea, technology researcher at Accenture Labs. “They’re already running up against limitations of [current chips] not being scalable enough,” he said.

Tim sheaSara castellanosAlex kassMike daviesJasmin eichlerAlan priestleyGartner incAccenture plcBrain researchUniversity of massachusettsInternational business machines corpDow jones company incIntel neuromorphic research communityIntel neuromorphic computing labIntel corpIntel labs