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In brief A new chip inspired by the mechanics of the brain could make AI far more efficient in specific tasks, researchers from Loughborough University found. This could be instrumental in reducing energy drain in weather systems, biological processes and more, where AI is involved. The team focused on physical processes over hardware when designing this AI, suggesting the possibility of reworking how AI is built. AI systems, like ChatGPT or Claude, are known for their intensive energy usage. They need to store data in one place and then process it elsewhere, constantly moving it back and forth. It’s a problem which could now be fixed with new research. A team of physicists from Loughborough University have designed a device that can process data that is changing over time directly inside the hardware. Traditional systems have relied on software-based methods to do this in the past. Brain-inspired chip developed by @LboroScience researchers could make some AI tasks up to 2,000x more energy efficient ⚡🧠 The device processes data directly in hardware – offering a new route to lower-power, more sustainable AI systems. Read⤵️https://t.co/OdJGJhs3IW — Loughborough University PR (@LboroPR) April 2, 2026 With this new chip, the team of researchers argue that it could be 2,000 times more energy efficient than existing methods. “This is exciting because it shows we can rethink how AI systems are built,” said Dr. Pavel Borisov, lead author of the study, in a statement. “By using physical processes instead of relying entirely on software, we can dramatically reduce the energy needed for these kinds of tasks.” Where conventional AI systems are akin to sending documents back and forth between two offices (memory and processor) over and over, with this new chip, it could be like having one smarter office, working on everything in one place. Brain…

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Filed under: News - @ April 2, 2026 6:22 pm