This is impressive. According to the article, the bot has not yet lost.
I think at the end of 2017, we may have to say that computers have conquered Go.
Interesting that the timing is 20 years after mastering chess.
I think at the end of 2017, we may have to say that computers have conquered Go.
Interesting that the timing is 20 years after mastering chess.
I can already barely follow what is going on on the board, so I'm sure watching slower paced games against pros would be interesting.
I am not sure if slower time settings favoring the human is still true -- AlphaGo works a little bit differently from traditional computer go programs.
Earlier versions of AlphaGo against Fan Hui, the slower official matches were 5-0 in favor of AlphaGo, whereas in the unofficial blitz games, Fan Hui managed to win some games.
You can find all the games at http://tieba.baidu.com/p/4922688212?pn=1
It's chinese but the pictures are universal and the comments don't really matter much.
By the way, Google Translate makes a pretty horrible work at translating those pages. I think they need to add some more DeepMind to it :-)
To be fair, they probably don't have much training data for the jargon of the game of go or of any other game.
One area google translate could look at is the name identification from the context and using roman instead of literal translation.
I think they made an announcement about that.
> Found in translation: More accurate, fluent sentences in Google Translate
https://blog.google/products/translate/found-translation-mor...
So it doesn't seem to work so well.