Google's artificial intelligence laboratory DeepMind is famous for its artificial intelligence go system alphago, and the company's software also masters the game "Space Invaders."
DeepMind has been in existence for five years and currently employs approximately 250 people in London. In the past year, the company has tried to apply machine learning algorithms to areas such as healthcare and energy. For example, the company helped Google's global data centers reduce energy consumption, and is currently exploring how to help the UK grid forecast demand.
However, DeepMind co-founder and CEO Demis Hassabis announced on Sunday that DeepMind will not give up the game in the short term.
Hasabis said on Twitter that DeepMind is continuing to optimize the alphago that beat Li Shishi earlier this year. "We are working hard to optimize alphago and are pleased to announce that by the beginning of 2017 this system will be able to compete for more games! More news will be announced soon."
It's unclear whether alphago will learn other games and whether DeepMind plans to open source artificial intelligence systems, giving global Go players the opportunity to play against alphago.
The outside world may be curious, considering why there are still many problems around the world that need to be resolved, why DeepMind will continue to focus on the game.
The reason is that games are one of the best ways to test artificial intelligence systems. DeepMind's team is divided into two halves, each engaged in "research" and "application." One of the tasks of a research team is likely to make alphago better, and the team working on the application will focus on solving real-world problems.
Why does alphago choose games as "professional"? The reason is that the game is actually one of the best ways to test artificial intelligence systems. According to foreign media reports, DeepMind's team is divided into two halves, each engaged in "research" and "application." One of the tasks of a research team is likely to make alphago better, and the team working on the application will focus on solving real-world problems.
It's unclear whether alphago will learn about other games, and whether DeepMind plans to open source artificial intelligence systems, giving global Go fans a chance to play against it.
But one thing is certain. DeepMind, which has been established for five years, is trying to apply machine learning algorithms to areas such as healthcare and energy. For example, the company helped Google's global data centers reduce energy consumption, and is currently exploring how to help the UK grid forecast demand.
Alphago's chess strength has risen in half a year and will come out again in 2017.Subsequently, the European Go Champion Fan Wei said on Weibo: "We are very pleased to announce that alphago's chess power has made great progress in the past six months and will resume playing in early 2017. Our team will announce more information in the near future. ""
Fan Wei is currently the head coach of the French Go team. He has won the European championship three times. He is the first professional player to play against alphago. Last year, he lost to the machine 0-5 in a closed game. He now has another identity, the test engineer at DeepMind.
After the release of the news, as the world's No. 1 chess player - and may also be the "first net red" Ke Jie nine paragraph will be against the alphago once again caused people's attention. According to industry sources, the Chinese chess house did reach a deal with DeepMind, but due to special reasons, it was delayed. It seems that Ke Jie’s probability of playing alphago next year is very large.
In March of this year, DeepMind sent alphago to compete with Li Shishi, who has 14 world titles, for a smash hit. Li Shishi eventually lost 1-4. Prior to this, Go was the only game game project that had not been overcome by artificial intelligence. Alphago's powerful computing power has also led to widespread discussion about artificial intelligence.
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