Stanford Creates Atomic Memory Network That Learns Like Brains

Scientists built a network of atoms and light that stores memories more efficiently than traditional AI and adjusts itself similarly to how human brains learn.

The breakthrough could lead to AI systems that use far less power while storing more information.