Humans to Battle AlphaGo Yet Again
South Korean professional Go player Lee Sedol reviews the match after winning the fourth match of the Google DeepMind Challenge. Lee Jin-man/AP
It's man versus machine learning.
AlphaGo was created by Google's DeepMind team as the ultimate machine learning system, capable of playing the game of Go. The 3,000 year old game is so complex, an algorithm can't simply calculate all potential moves. Instead, AlphaGo learned the rules and played "like a human."
In March 2016, Google's AlphaGo beat a human opponent, South Korea's Lee Sedol, four out of five times in the game.
Now, the top human Go player in the world, China's Ke Jie, wants to take on AlphaGo and will play three games against the artificial intelligence system.
Additionally, other Go players will team up to together challenge AlphaGo, while another match will pit two human players against each other, while each is assisted by the AI system.
The battle will happen May 23-27 in China.
To learn more, check out the video below from CNET: