There are two major goals of artificial intelligence. One is to create a system where machines are able to think like humans. Not only think, but also learn to behave like humans. The other important goal is to create expert systems. In the sense to create a system where machines will be able to learn, demonstrate and advise its users using its intelligence.
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In the past few years DeepMind’s Alpha projects, IBM DeepBlue and OpenAI Five have shown that we are reaching the point of matching and exceeding human performance in complex game environments where there is no silver bullet to achieve a goal. In the push to mimic human performance in games Imperia Online has prepared a case in the game of Baloot. Have you ever heard about Baloot? Sounds like Belote and actually is like Belote but a little bit different.
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Lately, the term data science has been ruling the IT industry. The ability to understand data and manipulate it is increasing rapidly due to innovation and discovery. Data science focuses on systems and processes that help us in gaining insight or knowledge from data.
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Google sees high potential in reinforcement learning techniques using deep neural networks for qubit control optimization. Their abilities to harness non-local regularities […]
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