[Research](https://doi.org/10.1126/sciadv.aec2324).
> 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.
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2026-03-20 21:36:33 UTC
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npub13st9gaemwuyfex8qpy3p7n7lc5r7t6acsyeflpw0nscncv082dks09sztgSeen on
wss://relay.momostr.pinkPublished at
2026-03-20 21:36:33 UTCEvent JSON
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"content": "[Research](https://doi.org/10.1126/sciadv.aec2324).\n\u003e 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.\n\u003e \n\u003e 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.",
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