Ion-Charged Nanolayer Materials for Analog Deep Learning Devices

This project aims to develop and optimise nanolayer materials to create analog deep learning devices that mimic the energy efficiency and processing capabilities of the human brain. By leveraging ionic electrochemical synapse devices, the project seeks to achieve scalable and efficient neuromorphic computing architectures that could significantly…