The first of the five-match DeepMind Challenge series between Google's AI AlphaGo and world champion Lee Sedol saw the algorithm beat him in the Go board game.
In a victory that will go down in the history books,
Google’s Go-playing DeepMind algorithm AlphaGo defeated legendary South
Korean Go-player, Lee Se-Dol. The tournament, as an exhibition of the
progress of artificial intelligence, is being held in Seoul, South
Korea, and will see Lee Se-Dol, a professional 9-Dan Go player, take on a
program in the board game. The game lasted for about three and half
hours, after which Lee resigned to give AlphaGo a historic victory and
set a landmark for achievements in the field of artificial intelligence.
The tournament has Lee participating for a $1 million prize, and after
the first match, he expressed his surprise at the level of perfection
and skill at which AlphaGo played.
AlphaGo, an algorithm
developed by Google’s R&D laboratories, uses a system of deep
neural networks and machine learning techniques to assess and make
moves. Go, an ancient and severely complex Chinese board game, was seen
as a tasking premise to test the algorithm’s development, and at the
historic opening game held today, AlphaGo excelled with a surprisingly
strong opening formation along with a few unexpected moves to defeat
Lee. “I was very surprised," said Lee, "I didn't expect to lose, I
didn't think AlphaGo would play the game in such a perfect manner.”
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