US EditionBrain-Inspired Nanoelectronic Device Could Cut AI Hardware Energy Use by 70%
5 Articles
5 Articles
Brain-inspired nanoelectronic device could cut AI hardware energy use by 70%
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. The results are reported in the journal Science …
New brain-inspired device sharply reduces AI hardware energy use
A tiny change at the boundary between two oxide layers may point to a less power-hungry future for artificial intelligence. Researchers led by the University of Cambridge have built a nanoelectronic device that behaves a bit like a brain synapse, storing and processing information in the same place instead of shuttling data back and forth as standard computer chips do. That matters because today’s AI hardware burns through vast amounts of electr…
Energy consumption is one of the main challenges of today's artificial intelligence (AI) hardware, but a new type of nanoelectronic device that mimics the functioning of the human brain could significantly reduce it.The entry A new brain-inspired chip material could reduce AI consumption was first published in Digital Process.
Cambridge is developing a brain-inspired memristor that could significantly reduce the energy consumption of AI hardware. Der Beitrag This brain-inspired chip could solve the energy problem of AI first appeared on ingenieur.de - Jobbörse und Nachrichtenportal für Ingenieure.
Coverage Details
Bias Distribution
- 100% of the sources are Center
Factuality
To view factuality data please Upgrade to Premium
