![]() Google CEO Sundar Pichai recently remarked that artificial intelligence is “probably the most important thing humanity has ever worked on,” calling it “more profound than electricity or fire.” Prime Minister Theresa May committed to develop her country’s artificial intelligence technology, which the government believes could add £630 billion ($895 billion) to its economy by 2035. More Profound than ElectricityĪrtificial intelligence’s potential for improving productivity has not been lost on heads of state and corporate chiefs. “We have reached the tipping point where adoption of machine learning in the enterprise is poised to accelerate, and will drive improved business operations, better decision making and provide enhanced or entirely new products and services,” says Deloitte vice chairman Paul Sallomi. Consulting firm Deloitte is calling for an exponential increase in commercial AI-based applications over the next three to five years. Using neural networks, deep learning algorithms and other machine learning methods, computers free up people from monotonous tasks so they can work on more complex and valuable projects. ![]() Artificial intelligence will cause major disruptions in every industry as computers increasingly take on tasks that in the past have required human intelligence. “AlphaZero compensates for the lower number of evaluations by using its deep neural network to focus much more selectively on the most promising variations - arguably a more ‘human-like’ approach to search,” wrote DeepMind’s researchers.ĭeepMind’s recent success has implications that go well beyond the world of chess. Perhaps most impressive was the efficiency of the AlphaZero program: It evaluated 80,000 positions per second, compared with 70 million for Stockfish. “We have always assumed that chess required too much empirical knowledge for a machine to play so well from scratch, with no human knowledge added at all.”ĪlphaZero won 28 out of 100 games against its computer opponent, Stockfish, without losing even once (the other 72 games were draws). “It’s a remarkable achievement,” former World Chess champion Garry Kasparov told. Beginning from random play, its tabula rasa algorithm learned by playing against itself, game after game. Unlike typical programs, which analyze tens of thousands of games by grandmasters and use an opening book and endgame table to arrive at the optimal move, AlphaZero was armed with only the basic rules of chess. In early December, a group of researchers from DeepMind Technologies, a London-based artificial intelligence enterprise acquired by Google in 2014, shocked the chess world when they published a paper detailing how their company’s AlphaZero program had handily defeated the leading computer chess program after teaching itself to play the game in just four hours.
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