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Imperial College London recently convened researchers and industry experts to explore how nature-inspired computing could help meet the surging demand for AI while addressing the unsustainable energy and infrastructure costs of current systems. Drawing on biological models like the human brain and plant networks, new hardware paradigms such as neuromorphic chips aim to deliver major gains in efficiency and performance, but real-world adoption hinges on overcoming barriers in skills, manufacturing scale-up, investment, and regulation. Success will depend on converging disciplines and sectors—universities, startups, and large tech firms working together—to co-design, demonstrate, and deploy these next-generation technologies.
https://www.imperial.ac.uk/news/articles/convergence-science/2026/nature-inspired-computation-real-world-challenges-and-opportunities-/
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Nature-inspired computation: real world challenges and opportunities

Nature has been solving complex problems with remarkable efficiency for millions of years. Could modern computing learn from it?

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