Memristor-based Neuromorphic Computing Systems
The evolution of artificial intelligence (AI) and the growing demands from Big Data are hampered by current hardware performance, spurring extensive research into accelerator chips. As silicon transistors reach physical limits, there is an urgent need to explore new computing paradigms based on unconventional devices.
Dr Li’s team is developing new brain-inspired computing paradigms using emerging memory devices, aiming to showcase the potential of these neuromorphic computing systems in laboratory settings.










