China Stringer Network / reuters
Earlier this year, an amateur Go player decisively defeated one of the game's top-ranked AI systems.They did so using a strategy developed with the help of a program researchers designed to probe systems like KataGo for weaknesses.It turns out that victory is just one part of a broader Go renaissance that is seeing human players become more creative since AlphaGO's milestone victory in 2016
In a recent study published in the journal , researchers from the City University of Hong Kong and Yale found that human Go players have become less predictable in recent years.
Earlier this year, an amateur Go player decisively defeated one of the game's top-ranked AI systems.They did so using a strategy developed with the help of a program researchers designed to probe systems like KataGo for weaknesses.It turns out that victory is just one part of a broader Go renaissance that is seeing human players become more creative since AlphaGO's milestone victory in 2016
In a recent study published in the journal , researchers from the City University of Hong Kong and Yale found that human Go players have become less predictable in recent years.
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