Google ’s AlphaGo made history last twelvemonth bybecoming the first machine to defeat a top - ranked human being Go player . It was an important AI milestone , but AlphaGo is n’t getting off that well . Next month , the expert system will partake in a five - daylight tourney that will pit it against China ’s top Go player — including Ke Jie , the world ’s best actor . Humans , the time for our redemption is at hand !
This struggle between mankind and auto is call theFuture of Go Summit , and it ’s assume spot in Wuzhen , China , from May 23 to 27 , 2017 . The effect is a collaboration between Google - owned Deepmind , China Go Association , and the Chinese government . In addition to featuring an innovative mix of militant data formatting , the summit will require lecture and panel discussions on AlphaGo and the future of AI in general .
In the year since AlphaGo defeated world - sensation Go player Lee Sedol , the practician of this 3,000 - class - older plank game have had ample time for reflection . But instead of wallowing in despair , or declaring an end to meaningful gameplay , its players have been actively solve to see what happened during the tournament and how a political machine accomplished something experts say could never be done . Remarkably , the secret plan has flourished since the March 2016 tournament between AlphaGo and Sedol , spark innovations in gameplaythat are surprising the professionals .
“ I think players more or less have all been affect by Professor Alpha , ” say professional Go player Zhou Ruiyang in a Deepmindblog post . “ AlphaGo ’s child’s play makes us feel more free and no move is impossible to act any longer . Now everyone is trying to dally in a way that has n’t been sample before . ”
The emergence of AlphaGo shows there ’s still lots to learn about this ancient plot , hence the upcoming Go nerdfest . Excitingly , the Future of Go Summit will let in variety of data formatting necessitate AlphaGo and top Chinese role player . As noted on the Deepmindwebsite , those format admit :
Pair Go : A game where one Chinese pro will roleplay against another … except they will both have their own AlphaGo mate , alternating moves , to take the concept of ‘ learning together ’ quite literally .
Team Go : A game between AlphaGo and a five - player team consisting of China ’s top pro players , working together to prove AlphaGo ’s creativity and adaptability to their combined style .
Ke Jie vs AlphaGo : Of course , the centerpiece of the event will be a classic 1:1 match of three game between AlphaGo and the earth ’s number one instrumentalist , Ke Jie , to push AlphaGo to … its limit .
The three - game match between world champion Ke Jie and AlphaGo will be especially epic . This much awaited match almost did n’t happen , as Jie was worried thatthe motorcar would simulate his playing scheme . Jie obviously change his mind after Sedol ’s defeat last year . As to who will win , that ’s impossible to anticipate ; Jie is the domain champ , and Lee Sedol testify that AlphaGo is capable of losing ( even if it was just one game ) . At the same fourth dimension , AlphaGo is steady ameliorate , suffer better with each plot it plays . The “ Team Go ” friction match , in which five human pros will put their heads together against AlphaGo , should also be pretty interesting .
As for the “ Pair Go ” portion , that ’s a moment meh . The organiser missed an opportunity to set up some “ Centaur Go ” matches similar toCentaur Chess , in which humans and machines team up together . So alternatively of understudy motion , each squad would consist of a human musician and an AlphaGo , where the man could use the AI as a decision - making tool . This is actuallyone of the more interesting aspects of AI research these days ; alone , man and AI are limited , but together , they ’re capable of some extraordinary cognitive feats .
In addition to these game , the Summit will also feature a forum on the “ Future of AI ” , bringing together some of China ’s leading experts in the field . panellist will discuss how AlphaGo managed to get so beneficial at Go , and how this technology could be leveraged elsewhere .
[ DeepmindviaTechCrunch ]
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