After AlphaGo, what’s next for AI?

Tweet Share AlphaGo’s victories against legendary Go player Lee Se-dol over the last few days mark a major milestone in AI research. The complex Chinese board game had long been considered impossible for computers to crack, but DeepMind used machine learning and neural networks to give its AlphaGo AI the ability to evaluate and execute strategy at a world-class level. But you don’t put some of the most intelligent people in the world to work on artificial intelligence just to beat board games. DeepMind’s work has major implications for the field of AI, and the deep-learning technology it uses has the potential to revolutionize everything from the way you use your phone to the way you drive your car — or the way your car drives you. Sam Byford First…

Link to Full Article: After AlphaGo, what’s next for AI?

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