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Январь
2021

Study reveals AI can beat human brain in chess, but not in memory

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The brain strategy for storing memories is more efficient than that of Artificial intelligence (AI), suggested the findings of a novel research.The new study, carried out by SISSA scientists in collaboration with Kavli Institute for Systems Neuroscience & Centre for Neural Computation, Trondheim, Norway, has been published in 'Physical Review Letters'.In the last decades, Artificial Intelligence has shown to be very good at achieving exceptional goals in several fields. Chess is one of them: in 1996, for the first time, the computer Deep Blue beat a human player, chess champion Garry Kasparov.Neural networks, real or artificial, learn by tweaking the connections between neurons. Making them stronger or weaker, some neurons become more active, some less, until a pattern of activity emerges. This pattern is what we call "a memory". The AI strategy is to use complex long algorithms, which iteratively tune and optimize the connections.The brain does it much simpler: each connection .



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