this post was submitted on 20 Mar 2026
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Technology

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New computer chip material inspired by the human brain could slash AI energy use (www.cam.ac.uk)
submitted 16 hours ago by Beep@lemmus.org to c/technology@lemmy.world
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Research.

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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[–] Zak@lemmy.world 10 points 15 hours ago (1 children)

could dramatically cut the energy consumed by artificial intelligence hardware

Decreasing the cost of using a resource almost always results in more use of that resource.

Laboratory tests showed the devices could reliably endure tens of thousands of switching cycles

That's not very many when GPUs perform trillions of operations per second.

[–] ryannathans@aussie.zone 1 points 15 hours ago (1 children)

It'd probably be far more appropriate for an analogue system where it isn't being switched but it's rather what the model is burned onto

[–] very_well_lost@lemmy.world 3 points 14 hours ago

This seems like such a glaringly-obvious solution to lower inference cost that surely there must be some fundamental flaw in it... otherwise all of the big AI firms would be doing it, right?

Right...?