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  2. Iconary - Wikipedia

    en.wikipedia.org/wiki/Iconary

    Iconary is an AI-driven, Pictionary-style online game developed at the Allen Institute for Artificial Intelligence. Publicly released in February 2019, the game is designed to encourage collaborative communication between a human player and the AI player AllenAI. Iconary is the first demonstration of an AI system capable of playing a Pictionary ...

  3. AlphaGo versus Lee Sedol - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_versus_Lee_Sedol

    AlphaGo is a computer program developed by Google DeepMind to play the board game Go. AlphaGo's algorithm uses a combination of machine learning and tree search techniques, combined with extensive training, both from human and computer play. The system's neural networks were initially bootstrapped from human game-play expertise.

  4. Computer Go - Wikipedia

    en.wikipedia.org/wiki/Computer_Go

    Professional Go players see the game as requiring intuition, creative and strategic thinking. [1] [2] It has long been considered a difficult challenge in the field of artificial intelligence (AI) and is considerably more difficult to solve than chess. [3]

  5. Discover the best free online games at AOL.com - Play board, card, casino, puzzle and many more online games while chatting with others in real-time.

  6. General game playing - Wikipedia

    en.wikipedia.org/wiki/General_game_playing

    General Game Playing is a project of the Stanford Logic Group of Stanford University, California, which aims to create a platform for general game playing.It is the most well-known effort at standardizing GGP AI, and generally seen as the standard for GGP systems.

  7. DeepSeek AI replicated for just $30 using Countdown game - AOL

    www.aol.com/deepseek-ai-replicated-just-30...

    A team of researchers in the US claim to have reproduced Deepseek’s viral AI chatbot for just $30.. The Chinese AI startup caused a trillion-dollar dent to the US tech industry last week after ...

  8. AlphaZero - Wikipedia

    en.wikipedia.org/wiki/AlphaZero

    In 100 shogi games against Elmo (World Computer Shogi Championship 27 summer 2017 tournament version with YaneuraOu 4.73 search), AlphaZero won 90 times, lost 8 times and drew twice. [11] As in the chess games, each program got one minute per move, and Elmo was given 64 threads and a hash size of 1 GB. [2]

  9. Machine learning in video games - Wikipedia

    en.wikipedia.org/.../Machine_learning_in_video_games

    Alphastar was the first AI agent to beat professional StarCraft 2 players without any in-game advantages. The deep learning network of the agent initially received input from a simplified zoomed out version of the gamestate, but was later updated to play using a camera like other human players.