A new @nature.com article feat. Adam Stieg + James Gimzewski (@cnsiatucla.bsky.social) explores @ucla.edu-pioneered self-organizing nanowire & nanoparticle networks that physically adapt to incoming information, enabling energy-efficient AI processing at the edge 🧠
cnsi.ucla.edu/september-18...
cnsi.ucla.edu
September 18, 2026 | Toward physical AI: When the hardware becomes the neural network - California NanoSystems Institute
Digital computing using silicon chips has transformed nearly every aspect of modern life and enabled the remarkable growth of artificial intelligence. But as AI models scale up, that growth comes with...