Neuromorphic Computing for Low-Power Artificial Intelligence

Researchers outline how neuromorphic computing could overcome energy efficiency limits in classical CMOS technology for AI applications. The approach requires co-design across materials, circuits, and algorithms to achieve brain-inspired compute-in-memory architectures.