In this article we are going to address the topic of Fan Hui, a topic that has been the subject of great interest and debate in recent years. Fan Hui has raised mixed opinions and has been the subject of study by numerous experts in the field. Throughout this article we are going to analyze in depth the different aspects related to Fan Hui, from its origin and evolution to its impact on current society. In addition, we will examine the different perspectives and approaches that exist around Fan Hui, with the aim of providing a comprehensive and enriching vision on this topic. Without a doubt, Fan Hui is a topical topic that deserves to be explored in detail, and we are sure that this article will provide a fresh and insightful perspective on the same.
Fan Hui | |
---|---|
Chinese | 樊麾 |
Pinyin | Fán Huī |
Born | Xi'an, Shaanxi, China | 27 December 1981
Residence | France |
Turned pro | 1996 |
Rank | professional 2 dan |
Fan Hui (Chinese: 樊麾; pinyin: Fán Huī; born 27 December 1981) is a Chinese-born French Go player. Becoming a professional Go player in 1996, Fan moved to France in 2000 and became the coach of the French national Go team in 2005. He was the winner of the European Go Championship in 2013, 2014 and 2015. As of 2015, he is ranked as a 2 dan professional. He additionally won the 2016 European Professional Go Championship.
In October 2015, Fan was defeated by the Google DeepMind AI program AlphaGo 5–0, the first time an AI has beaten a human professional player at the game without a handicap. Fan described the program as "very strong and stable, it seems like a wall. ... I know AlphaGo is a computer, but if no one told me, maybe I would think the player was a little strange, but a very strong player, a real person."
After his defeat, Fan Hui was hired to advise the AlphaGo team and provided a "sanity check" on Go theory. He served as a judge for the AlphaGo versus Lee Sedol match and observed it in person. He later helped compile commentaries on the matches on AlphaGo's website.
Fan is one of the authors of DeepMind's paper on AlphaGo Zero published in the journal Nature on 19 October 2017.