A Brain-Inspired Chip Can Run AI With Far Less Energy

Artificial intelligence algorithms cannot keep growing at their current pace. Algorithms like deep neural networks -- which are loosely inspired by the brain, with multiple layers of artificial neurons linked to each other via numerical values called weights -- get bigger every year. But these days, hardware improvements are no longer keeping pace with the enormous amount of memory and processing capacity required to run these massive algorithms. Soon, the size of AI algorithms may hit a wall. And even if we could keep scaling up hardware to meet the demands of AI, there's another problem: running them on traditional computers wastes an enormous amount of energy.