The end-game for Google’s AI subsidiary DeepMind was never beating people at board games. It’s always been about creating something akin to a combustion engine for intelligence — a generic thinking machine that can be applied to a broad range of challenges. The company is still a long way off achieving this goal, but new research published by its scientists this week suggests they’re at least headed down the right path.
In the paper, DeepMind describes how a descendant of the AI program that first conquered the board game Go has taught itself to play a number of other games at a superhuman level. After eight hours of self-play, the program bested the AI that first beat the human world Go champion; and after four hours of training, it…
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Author: James Vincent
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