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October 14, 2016 04:00 am

Google Creates AI Program That Uses Reasoning To Navigate the London Tube

An anonymous reader quotes a report from The Guardian: Google scientists have created a computer program that uses basic reasoning to learn to navigate the London Underground system by itself. Deep learning has recently stormed ahead of other computing strategies in tasks like language translation, image and speech recognition and even enabled a computer to beat top-ranked player, Lee Sedol, at Go. However, until now the technique has generally performed poorly on any task where an overarching strategy is needed, such as navigation or extracting the actual meaning from a text. The latest program achieved this by adding an external memory, designed to temporarily store important pieces of information and fish them out when needed. The human equivalent of this is working memory, a short-term repository in the brain that allows us to stay on task when doing something that involves several steps, like following a recipe. In the study, published in the journal Nature, the program was able to find the quickest route between underground stops and work out where it would end up if it traveled, say, two stops north from Victoria station. It was also given story snippets, such as "John is in the playground. John picked up the football." followed by the question "Where is the football?" and was able to answer correctly, hinting that in future assistants such Apple's Siri may be replaced by something more sophisticated. Alex Graves, the research scientist at Google DeepMind in London who led the work, said that while the story tasks "look so trivial to a human that they don't seem like questions at all," existing computer programs "do really badly on this." The program he developed got questions like this right 96% of the time.

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Original Link: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/oxnTDUpF04E/google-creates-ai-program-that-uses-reasoning-to-navigate-the-london-tube

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