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The NCHC Uses HPC to Support and Promote Artificial Intelligence MoGoTW vs. the Human Brain: One Win

National University of Tainan, NARL-NCHC, and several universities in Taiwan established the MoGoTW TeamNational University of Tainan, NARL-NCHC, and several universities in Taiwan established the MoGoTW Team

In order to develop the MoGoTW computer vs. human application, on October 26th, 2009, National University of Tainan and the NARL's National Center for High-Performance Computing (NCHC), along with National Cheng Kung University, Chang Jung Christian University, National University of Kaohsiung, National Tsing Hua University, and National Dong Hwa University, established the MoGoTW Team. 

Address by Yeong-Her Wang, the Vice President of the NARL.Address by Yeong-Her Wang, the Vice President of the NARL.

On the same day, the MoGoTW computer program played an extremely exciting match against Level 9 Go Master, Jiun-shiun Jou, with one win and two loses. This match is the first game in which the MoGoTW program and a supercomputer together defeated the human brain in a Go match. 

Address by Shiou-shuang Huang, the President of National University of TainanAddress by Shiou-shuang Huang, the President of National University of Tainan

After the match, Jiun-shiun Jou said that he was surprised by the outstanding performance of MoGo. According to Jiun-shiun Jou, the 29th move was critical move in that tued the game's favor to MoGo. MoGo continued to dominate the game after that move and, as a result, Jou was unable to reverse the outcome. Jiun-shiun Jou said that he hopes that MoGo will continue to be developed and be able to challenge humans on a 19×19 Go board in the future. 

Jiun-shiun Jou, professional Go player of TaiwanJiun-shiun Jou, professional Go player of Taiwan

The Go game is considered to be one of the most difficult items for computers to contend with the human brain, thus, Go has been considered a worthy challenge for the development of an artificial intelligence-based application. We predict that within the next three years, MoGoTW will be able to solve all the 9×9 Go game problems and defeat a human being. Yeong-Her Wang, Vice President of the National Applied Research Laboratories (NARL), promised to support and assist in the development of artificial intelligence-based applications such as MoGoTW. We believe that with the support of the NARL and the NCHC, MoGo will perform even better in the very near future.

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Background of the Ancient Chinese Game “Go”:

“Go” is a strategic board game for two players. “Go” is noted for being rich in strategic complexity despite its simple rules. “Go” originated in ancient China more than 2,500 years ago. The game is most popular in East Asia, but has gained some popularity in other parts of the world in recent years. A conservative estimate places the number of “Go” players worldwide at approximately 27 million.