New brain-inspired ‘memristors’ promise to cut AI energy use

New brain-inspired ‘memristors’ promise to cut AI energy use


The human brain takes a different approach to traditional computers. Every synapse — the junctions where neurons communicate — both stores and processes information locally, which means memory and processing are fused inside the same biological hardware.

The human brain takes a different approach to traditional computers. Every synapse — the junctions where neurons communicate — both stores and processes information locally, which means memory and processing are fused inside the same biological hardware.
| Photo Credit: DOI: 10.1126/sciadv.aec2324

Researchers from the University of Cambridge have reported a new kind of brain-inspired nanodevice, a hafnium-oxide memristor, that could dramatically cut artificial intelligence’s (AI) energy bill by bringing memory and computation into the same component.

The findings were published in Science Advances on March 20.



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