Computer draws first blood in clash with Go grandmaster


  • TECH
  • Wednesday, 09 Mar 2016

A man watches a television screen broadcasting live footage of the Google DeepMind Challenge Match, at the Korea Baduk Association in Seoul on March 9, 2016. A 3,000-year-old Chinese board game was the focus of a very 21st century showdown as South Korean Go grandmaster Lee Se-Dol kicked off his highly anticipated clash with the Google-developed supercomputer, AlphaGo. / AFP / JUNG YEON-JE

SEOUL: A Google-developed supercomputer stunned South Korean Go grandmaster Lee Se-Dol by taking the first game of a five-match showdown between man and machine in Seoul on March 9. 

After about 3-1/2 hours of play, Lee, one of the greatest players of the ancient board game in the modern era, resigned when it became clear the AlphaGo computer had taken an unassailable lead. 

Although the computer had whitewashed European champion Fan Hui 5-0 last October, it had been expected to struggle against 33-year-old Lee, who has topped the world rankings for most of the past decade. 

But its creators were bullish going into the match at the Four Seasons hotel in the South Korean capital, saying the computer, which employs algorithms that allow it to learn and improve from matchplay experience, was even stronger than when it took on Fan.

epa05202173 Journalists watch the historic match between South Korean Go champion Lee Se-dol and the Google-developed Go-playing artificial intelligence program AplhaGo through a large screen at a hotel in Seoul, South Korea, 09 March 2016.  EPA/YONHAP SOUTH KOREA OUT
Journalists watching the historic match between Lee and AlphaGo say Lee appeared to have choked in the final stages of the game, which sealed his fate. — EPA

Lee was expected to brief reporters later, but commentators following the match said he appeared to have made a bad error in the final stages of the game, which was being watched by hundreds of experts, reporters and VIPs packed into an adjacent press room with a large TV screen. 

The match-up sparked enough interest to warrant an Internet live-stream as well as live TV broadcasts in South Korea, China and Japan. 

The five-day battle for supremacy between man and machine has been seen as a major test of what scientists and engineers have achieved in the sphere of Artificial Intelligence (AI) over the past 10 years or so. 

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. 

Our ‘Mount Everest’ 

But experts say Go presents an entirely different challenge as the complexity of the game and incomputable number of move options mean that the computer must be capable of human-like “intuition” to prevail. 

“Go really is our Mount Everest,” said Demis Hassabis, the CEO of AlphaGo developer DeepMind, adding that the public response to the challenge with Lee had been “far bigger than we expected.”

South Korean Go game fans watch a television screen broadcasting live footage of the Google DeepMind Challenge Match, at the Korea Baduk Association in Seoul on March 9, 2016. A 3,000-year-old Chinese board game was the focus of a very 21st century showdown as South Korean Go grandmaster Lee Se-Dol kicked off his highly anticipated clash with the Google-developed supercomputer, AlphaGo. / AFP / JUNG YEON-JE
South Korean Go game fans watching a television screen broadcasting live footage of the Google DeepMind Challenge Match, at the Korea Baduk Association in Seoul. — AFP

When Lee first accepted the AI challenge, he had confidently predicted a clear-cut win, saying that AlphaGo’s performance against Fan had been nowhere near good enough to defeat him. 

But the grandmaster had confessed to some pre-match nerves on March 8. 

“Now I think I may not beat AlphaGo by such a large margin like 5-0. It’s only right that I’m a little nervous,” he said. 

Go reputedly has more possible board configurations than there are atoms in the Universe, and mastery of the game by a computer was thought to be at least a decade away until the victory over Fan. 

“At the beginning of the match, I never imagined I could lose,” Fan told AFP ahead of the showdown in Seoul. 

‘Human-like’ approach 

Creating “general” or multi-purpose, rather than “narrow”, task-specific intelligence, is the ultimate goal in AI – something resembling human reasoning based on a variety of inputs, and self-learning from experience. 

In the case of Go, Google developers realised a more “human-like” approach would win over brute computing power. 

AlphaGo uses two sets of “deep neural networks” containing millions of connections similar to neurons in the brain. 

It is able to predict a winner from each move, thus reducing the search base to manageable levels – something co-creator David Silver has described as “more akin to imagination”. 

The match at the Four Seasons promises a US$1mil (RM4.12mil) payout for the winner. — AFP

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