Scaling up Neuromorphic Computing for More Efficient and Effective AI Everywhere and Anytime

Neuromorphic computing—a field that applies principles of neuroscience to computing systems to mimic the brain’s function and structure—needs to scale up if it is to effectively compete with current computing methods. In a review published Jan. 22 in the journal Nature, 23 researchers, including two from the University of California San Diego, present a detailed roadmap of what needs to happen to reach that goal.