Advances in machine learning have moved at a gallop in recent years, but the computer processors these programs run on have barely changed. To remedy this, companies have been re-tuning existing chip architecture to fit the demands of AI, but on the cutting edge of research, an entirely new approach is taking shape: remaking processors so they work more like our brains.

This is called “neuromorphic computing,” and scientists from MIT this week said they’ve made significant progress in getting this new breed of chips up and running. Their research, published in the journal Nature Materials, could eventually lead to processors that run machine learning tasks with lower energy demands — up to 1,000 times less. This would enable us to give…

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Source:: Theverge – Tech

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