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  2. AlphaGo - Wikipedia

    en.wikipedia.org/wiki/AlphaGo

    Deep reinforcement learning, subfield of machine learning that is the basis of AlphaGo; Glossary of artificial intelligence; Go and mathematics; KataGo, the leading open-source Go program; Leela Zero, another open-source Go program; Matchbox Educable Noughts and Crosses Engine; Samuel's learning computer checkers (draughts) TD-Gammon ...

  3. Computer programming - Wikipedia

    en.wikipedia.org/wiki/Computer_programming

    Computer programming or coding is the composition of ... (such as division by zero or off-by ... Learning to program has a long history related to professional ...

  4. AlphaGo Zero - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_Zero

    "Though having watched only a few matches, we received the impression that AlphaGo Zero plays more like a human than its predecessors," Mok said. [21] Chinese Go professional Ke Jie commented on the remarkable accomplishments of the new program: "A pure self-learning AlphaGo is the strongest. Humans seem redundant in front of its self-improvement."

  5. Leela Zero - Wikipedia

    en.wikipedia.org/wiki/Leela_Zero

    Leela Zero is a free and open-source computer Go program released on 25 October 2017. It is developed by Belgian programmer Gian-Carlo Pascutto, [1] [2] [3] the author of chess engine Sjeng and Go engine Leela. [4] [5] Leela Zero's algorithm is based on DeepMind's 2017 paper about AlphaGo Zero.

  6. AlphaZero - Wikipedia

    en.wikipedia.org/wiki/AlphaZero

    In the computer chess community, Komodo developer Mark Lefler called it a "pretty amazing achievement", but also pointed out that the data was old, since Stockfish had gained a lot of strength since January 2018 (when Stockfish 8 was released). Fellow developer Larry Kaufman said AlphaZero would probably lose a match against the latest version ...

  7. Code.org - Wikipedia

    en.wikipedia.org/wiki/Code.org

    By 2014, Code.org had launched computer courses in thirty US school districts to reach about 5% of all the students in US public schools (about two million students), [46] and by 2015, Code.org had trained about 15,000 teachers to teach computer sciences, able to reach about 600,000 new students previously unable to learn computer coding, with ...

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