Wave-based neuromorphic computing framework for brain-like energy efficiency and integration

Abstract

We present a framework of wave-based neuromorphic computing aiming at brain-like capabilities and efficiencies with nano-scale device integration. We take advantage of the unique nature of elastic wave dynamics in both computations and the IO communications in between as a means to efficiently implement and execute neuromorphic computing. We point out that the group velocity of a wave is one of the essential design parameters.