KataGo is currently the best opensource program playing baduk/go/weichi.

'KaTrain is a tool for analyzing and playing go with AI feedback from KataGo:
- Review your games to find the moves that were most costly in terms of points lost.
- Play against AI and get immediate feedback on mistakes with option to retry.
- Play against a wide range of weakened versions of AI with various styles.
- Play against a stronger player and use the retry option instead of handicap stones.
- Automatically generate focused SGF reviews which show your biggest mistakes.'

Voici quelques bons programmes gratuits:
Fairy-Stockfish (https://github.com/ianfab/Fairy-Stockfish) pour jouer notamment au xiàngqí, les échecs chinois
Lizzie (https://github.com/featurecat/lizzie) pour jouer au baduk/(i)go/weichi
LucasChess (https://lucaschess.pythonanywhere.com/) pour s'entraîner aux échecs
WZebra (http://radagast.se/othello/download.html) pour jouer à othello / reversi

'AlphaGo is already demonstrating the power of what can happen not only when AI learns from us, but when we learn from AI. At this stage, it’s technology worth being optimistic about.'
See also https://medium.com/@carljohanragnarsson/lessons-from-alphago-storytelling-bias-and-program-management-7c65f9d91305

See also http://www.usgo.org/news/2017/05/new-version-of-alphago-self-trained-and-much-more-efficient/

Commentaires des 60 parties rapides jouées par AlphaGo ('master') contre les meilleurs joueurs du monde de baduk / go / weichi en décembre 2016 et janvier 2017.
Les prochains matchs seront diffusés ici à partir du 22 mai 2017: https://www.youtube.com/watch?v=kDTWCNLd55M
Apparemment, le documentaire sur le match avec Lee Sedol est intéressant: https://www.technologyreview.com/s/604273/finding-solace-in-defeat-by-artificial-intelligence/

For the last couple of weeks, a mysterious program bet the best baduk/go/weichi players in the world:
http://lifein19x19.com/forum/viewtopic.php?f=10&t=13913
http://www.go-baduk-weiqi.de/masterp-schlaegt-go-profis/
We just learnt that it was a new version of AlphaGo:
http://www.nature.com/news/google-reveals-secret-test-of-ai-bot-to-beat-top-go-players-1.21253
The 60 games just played were very quick so they are not necessarily indicative of the strength of the program at longer settings. Still...
So the best (long games with some of the best players) is yet to come.
Humans are going to get better at the game thanks to this artificial intelligence.

Cho Chikun wins the 3rd game and the match against the program DeepZenGo
See also http://www.eurogofed.org/index.html?id=89 and https://twitter.com/theaga

Why it's becoming such a great program!
Still behind AlphaGo, of course, but getting closer, and with much less computer power.

See also this precise commentary of the game:
https://gogameguru.com/lee-sedol-defeats-alphago-masterful-comeback-game-4/
And this interview of Demis Hassabis, head of Google Deepmind:
http://www.theverge.com/2016/3/10/11192774/demis-hassabis-interview-alphago-google-deepmind-ai

Deuxième victoire impressionnante d'AlphaGo
Vidéo: https://www.youtube.com/watch?feature=player_embedded&v=l-GsfyVCBu0

Compte-rendu bien plus précis que ceux du Monde. Y compris les parties.
Voir aussi http://www.nature.com/news/google-ai-algorithm-masters-ancient-game-of-go-1.19234

Comparaison des logiciels d'étude de débuts de partie (joseki) au jeu de baduk / (i)go / weichi
Voir aussi http://lyon-shinogi.jeudego.org/?section=Jargon%20simplifi%C3%A9(A-H) pour quelques termes japonais utiles

Un amateur du jeu de baduk / (i)go / weichi, farfelu et sympathique