Neuromorphic computing, which applies neuroscience principles to create computer systems that function like the human brain, must scale up to compete with traditional computing methods. A recent review published on January 22 in the journal Nature outlines a roadmap for achieving this goal. The paper, authored by 23 researchers — including two from the University of California San Diego — provides practical insights into developing computing systems that match the brain’s cognitive abilities while maintaining a similar size and power efficiency.
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