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2. Go software - Wikipedia

   en.wikipedia.org/wiki/Go_software

   There is an abundance of go software available to support players of the game of Go.This includes software programs that play Go themselves, programs that can be used to view and/or edit game records and diagrams, programs that allow the user to search for patterns in the games of strong players and programs that allow users to play against each other over the Internet.

3. KataGo - Wikipedia

   en.wikipedia.org/wiki/KataGo

   KataGo is a free and open-source computer Go program, capable of defeating top-level human players. First released on 27 February 2019, it is developed by David Wu, [1] who also developed the Arimaa playing program bot_Sharp which defeated three top human players to win the Arimaa AI Challenge in 2015.

4. Computer Go - Wikipedia

   en.wikipedia.org/wiki/Computer_Go

   The Computer Go Room on the K Go Server (KGS) for online discussion and running "bots" Two Representative Computer Go Games, an article about two computer Go games played in 1999, one with two computers players, and the other a 29-stone handicap human-computer game; What A Way to Go describes work at Microsoft Research on building a computer Go ...

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   www.aol.com/games

   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. AlphaGo - Wikipedia

   en.wikipedia.org/wiki/AlphaGo

   AlphaGo is a computer program that plays the board game Go. [1] It was developed by the London-based DeepMind Technologies, [2] an acquired subsidiary of Google.Subsequent versions of AlphaGo became increasingly powerful, including a version that competed under the name Master. [3]

7. Crazy Stone (software) - Wikipedia

   en.wikipedia.org/wiki/Crazy_Stone_(software)

   Crazy Stone (Champion Go on iOS and Android platforms) is a Go playing engine, developed by Rémi Coulom, a French computer scientist. It is one of the first computer Go programs to utilize a modern variant of the Monte Carlo tree search .