A South Korean Go grandmaster on Sunday scored his first
win over a Google-developed supercomputer, in a surprise victory after
three humiliating defeats in a high-profile showdown between man and
machine.
Lee Se-dol thrashed AlphaGo after a
nail-biting match that lasted for nearly five hours — the fourth of the
best-of-five series in which the computer clinched a 3-0 victory on
Saturday.
Lee struggled in the early phase of the fourth match but gained a lead towards the end, eventually prompting AlphaGo to resign.
The
33-year-old is one of the greatest players in modern history of the
ancient board game, with 18 international titles to his name — the
second most in the world. “I couldn’t be happier today...this victory is
priceless. I wouldn’t trade it for the world,” a smiling Lee said after
the match to cheers and applause from the audience.
“I
can’t say I wasn’t hurt by the past three defeats...but I still enjoyed
every moment of playing so it really didn’t damage me greatly,” he
said.
Lee earlier predicted a landslide victory over
Artificial Intelligence (AI) but was later forced to concede that the
AlphaGo was “too strong.”
Lee had vowed to try his
best to win at least one game after his second defeat. Described as the
“match of the century” by local media, the game was closely watched by
tens of millions of Go fans mostly in East Asia as well as AI
scientists.
The most famous AI victory to date came
in 1997, when the IBM-developed supercomputer Deep Blue beat the
then-world class chess champion Garry Kasparov.
But
Go, played for centuries mostly in Korea, Japan and China, had long
remained the holy grail for AI developers due to its complexity and
near-infinite number of potential configurations.
Demis Hassabis, the head of the AlphaGo developer Google DeepMind, has described Go as the “Mount Everest” for AI scientists.
“Lee Se-dol was an incredible player and was too strong for AlphaGo,” Hassabis said after Sunday’s match.
“It
was doing well...but then, because of Lee’s fantastic play, it was
pressurised into some mistakes,” he said, describing the loss as a
“valuable” way to fix the problems with the supercomputer.
“Actually
we are very happy because this is why we came here, to test AlphaGo and
its limit and find out what its weaknesses were,” he said.
Lee
said those weaknesses included a difficulty in responding to certain
unexpected plays by an opponent, which led to more mistakes.
Go
involves two players alternately laying black and white stones on a
chequerboard-like grid of 19 lines by 19 lines. The winner is the player
who manages to seal off more territory.
On the 78th
move, Lee placed a stone unexpectedly in the middle section of the
board, stunning many experts and confusing the AlphaGo.
Hassabis
later tweeted that the AlphaGo made a “mistake” on the following 79th
move and only realised it several moves later. AlphaGo uses two sets of
“deep neural networks” that allow it to crunch data in a more human-like
fashion — dumping millions of potential moves that human players would
instinctively know were pointless. — AFP
Source:- The Hindu, 14-Mar-2016