Brain-like Hafnium Oxide Memristor Chip Could Cut AI Energy Use by 70%—A Neuromorphic Leap from Cambridge
What if the fastest way to make AI smarter wasn’t to build bigger data centers—but to build chips that think more like our brains? That’s the tantalizing promise behind a new nanoelectronic device from the University of Cambridge that reportedly slashes AI energy use by up to 70% while enhancing adaptability. Published in Science Advances…
