An adaptive synaptic array using Fowler–Nordheim dynamic analog memory

Abstract

While great progress has been made in the applications of machine learning models, training them on conventional computing hardware is an energy intensive process. Here, Mehta et al present an adaptive synaptic array offering considerable improvements in the energy efficiency of training.