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A new AI (artificial intelligence) robot is capable for learning and thinking for itself and is so far able to play dozens of vintage video games without any prior help or programming, scientists say.
Independent.co.uk reports:
The intelligent machine learns by itself from scratch using a trial-and-error approach that is reinforced by the reward of a score in the game. This is fundamentally different to previous game-playing “intelligent” computers, the researchers said.
The system of software algorithms is called Deep Q-network and has learned to play 49 classic Atari games such as Space Invaders and Breakout, but only with the help of information about the pixels on a screen and the scoring method.
The researchers behind the development said that it represents a breakthrough in artificial intelligence capable of learning from scratch without being fed instructions from human experts – the classic method for chess-playing machines such as IBM’s Deep Blue computer.
“This work is the first time anyone has built a single, general learning system that can learn directly from experience to master a wide range of challenging tasks, in this case a set of Atari games, and to perform at or better than human level,” said Demis Hassabis, a former neuroscientist and founder of DeepMind Technologies, which was bought by Google for £400m in 2014.
“It can learn to play dozens of the games straight out of the box. What that means is we don’t pre-program it between each game. All it gets access to is the raw pixel inputs and the game’s score. From there it has to figure out what it controls in the game world, how to get points and how to master the game, just by playing the game,” said Mr Hassabis, a former chess prodigy.