How neuromorphic computing takes inspiration from our brains
Peter Hess
Neuromorphic computing is an approach to hardware design and algorithms that seeks to mimic the brain. The concept doesn’t describe an exact replica, a robotic brain full of synthetic neurons and artificial gray matter. Rather, experts working in this area are designing all layers of a computing system to mirror the efficiency of the brain. Compared to conventional computers, the human brain barely uses any power and can effectively solve tasks even when faced with ambiguous or poorly defined...
