DeepMind’s AI has learned to navigate the Tube using memory

How do I get there quickly? Photofusion/Getty By Chris Baraniuk Memory: upgraded. DeepMind’s latest AI has a “working memory” so that it can learn how to solve tasks for itself – such as how best to get from A to B on the London tube network. “The thing can learn to compute what it has to, rather than being programmed,” says Murray Shanahan at Imperial College, London, who wasn’t involved with the work. Called a Differentiable Neural Computer (DNC), the system succeeds because it combines neural networks, which are good at learning but not so good at storing data, with an external memory. It can retrieve items from its memory in the order they were recorded –  a key innovation that ensures they don’t get overwritten too quickly and helps…


Link to Full Article: DeepMind’s AI has learned to navigate the Tube using memory