this post was submitted on 01 Nov 2025
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"The new device is built from arrays of resistive random-access memory (RRAM) cells.... The team was able to combine the speed of analog computation with the accuracy normally associated with digital processing. Crucially, the chip was manufactured using a commercial production process, meaning it could potentially be mass-produced."

Article is based on this paper: https://www.nature.com/articles/s41928-025-01477-0

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[–] flemtone@lemmy.world 64 points 1 day ago (14 children)
[–] Treczoks@lemmy.world 24 points 1 day ago (13 children)

Same here. I wait to see real life calculations done by such circuits. They won't be able to e.g. do a simple float addition without losing/mangling a bunch of digits.

But maybe the analog precision is sufficient for AI, which is an imprecise matter from the start.

[–] fcalva@cyberplace.social 1 points 1 day ago

@Treczoks @flemtone Thing is, the final LLM inference is usually done at reduced precision. 8-16 bits usually, but even 4bits or lower with different layers of varying precision.

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