this post was submitted on 10 Sep 2025
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@yogthos@lemmygrad.ml

This follows a previous success from the same institute, where they collaborated with Swiss scientists to develop an energy-efficient neuromorphic chip called "Speck" with a remarkably low power consumption of just 0.42 milliwatts. This is a crucial step towards replicating the human brain's incredible efficiency, which operates on only about 20 watts of power.

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[–] yogthos@lemmygrad.ml 13 points 6 months ago* (last edited 6 months ago)

Biologically inspired neural networks are very promising in my opinion. Reverse engineering some of the algorithms that evolved naturally may be easier than trying to figure this stuff out from scratch.

Preprint available here https://arxiv.org/pdf/2509.05276v1