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To advance neuromorphic computing, some researchers are looking at analog improvements--advancing not just software, but hardware too. Research from the UC San
A team of researchers from the Quantum Materials for Energy Efficient Neuromorphic Computing (Q-MEEN-C) consortium, led by the University of California San Diego, has unlocked a hidden potential in quantum materials. This potential, known as 'non-local' behavior, holds promise in mimicking the intricate workings of the human brain and revolutionizing energy-efficient computing.