Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms

Abstract

This Special Issue of IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) is dedicated to demonstrating the latest research progress on dynamical neuro-artificial intelligence (AI) learning systems that bridge the gap between devices, circuits, architectures, and algorithms. The growing demand for AI has spurred the development of systems that: 1) co-localize computation and memory; 2) enhance circuits and devices optimized for operations prevalent in deep learning; and 3) implement lightweight and compressed machine learning models thereby achieving greater accuracy with less resources.