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

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.