Researchers develop brain-inspired chip material that could dramatically reduce the energy consumption required to power artificial intelligence systems.

Cambridge University researchers have created a new computer chip material modeled after how the human brain processes information

The bio-inspired design aims to significantly decrease the energy requirements for running AI applications and machine learning models

This advancement could address a major challenge in AI development: the substantial power consumption of current computing infrastructure

The technology represents a shift toward more efficient neuromorphic computing that mimics biological neural processes