A new advancement in semiconductor technology involves the development of atomically tunable memristors, which mimic the human brain's neural networks. Funded by a $1.8 million grant from the National Science Foundation, researchers from the University of Kansas and the University of Houston aim to enhance neuromorphic computing for high-speed, energy-efficient processing. This project also emphasizes workforce development in the semiconductor industry, training new experts in this cutting-edge field.