Researchers have developed a new kind of nanoelectronic device that could dramatically cut the energy consumed by artificial intelligence hardware by mimicking the human brain.
The researchers, led by the University of Cambridge, developed a form of hafnium oxide that acts as a highly stable, low‑energy ‘memristor’ — a component designed to mimic the efficient way neurons are connected in the brain.
Takes a while for the technology to become available in ASICs, we still don’t have purpose designed silicon for AI. We’re using repurposed GPUs with tensor cores scaled up still for pretty much all AI workloads