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Amoeba-inspired method could enable energy-efficient hardware for complex optimization

This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.

Combinatorial optimization problems are ubiquitous, underpinning decision-making in a wide range of fields, including logistics, transportation, communication networks, drug discovery and materials science. However, these problems are computationally expensive, especially for conventional computing…

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  1. 2026-08-26 15:40 · TechXplore AI & ML
    Amoeba-inspired method could enable energy-efficient hardware for complex optimization

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