Research
Cambridge's Brain-Inspired Chip Material Could Cut AI Energy Use by 70%
A new hafnium oxide memristor from the University of Cambridge mimics biological synapses with a million-fold reduction in switching current, pointing toward more efficient neuromorphic hardware.