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The advent of computers in chess playing has seen forward strides since the early ‘70s. Modern computer chess has advanced both in terms of computing power and programming of heuristics in picking chess moves. However, the new frontier of exploring AI into chess has seen exciting discoveries, particularly in the realm of self-learning. Alpha Zero has demonstrated that capability and it remains to be seen whether the new understanding unravelled in its discovery can infuse new ideas and change century-old paradigms that the chess world has based on its understanding of the game, It would be most exciting if the self-learning capabilities of AI can be extrapolated into other fields, e.g. cancer, and disease research or planning.
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The advent of computers in chess playing has seen forward strides since the early ‘70s. Modern computer chess has advanced both in terms of computing power and programming of heuristics in picking chess moves. However, the new frontier of exploring AI into chess has seen exciting discoveries, particularly in the realm of self-learning. Alpha Zero has demonstrated that capability and it remains to be seen whether the new understanding unravelled in its discovery can infuse new ideas and change century-old paradigms that the chess world has based on its understanding of the game, It would be most exciting if the self-learning capabilities of AI can be extrapolated into other fields, e.g. cancer, and disease research or planning.