The introduction of AI systems in militaries and acquisition by countries, especially great powers, may have grave implications in the long run. A perceived inequity can be seen in the balance of power if the AI race starts to gain momentum. One can argue that the race will be catalysed by the influence of a state acquiring AI systems thus posing a threat to another state all due to the anarchic nature of the international arena. As we grow, or at the very least try to be mindful of the unintended results affiliated with the advancement in military technology and autonomous weapons, we realize the militaristic attraction that these weapons possess and how we cannot sufficiently envision the possibility of these self-sufficient weapons advancing. In 2016, a professional competition took place between a South Korean expert of the strategy game called Go and Google's artificial intelligence program in which the master player Lee Se-Dol announced his withdrawal from the contest after failing to win against the program.

One of South Korea's most celebrated professional Go players, master Lee Se-dol, has retired, citing the futility of raging against the machines as a motivating factor. With the debut of AI in Go games, I've realized that I'm not at the top even if I become the number one through frantic efforts. Even if I become the number one, there is an entity that cannot be defeated. Se-dol's 24-year career includes wins over dozens of the world's top players, including a stint as world champion. He faced DeepMind's AlphaGo in five matches during March of 2016 where he managed to come away with just a single win. Prior to the bouts, Se-dol predicted he'd win by "a landslide," and by all reports he was flat-out stunned when the AI repeatedly beat him.

There's no shortage of questions surrounding artificial intelligence, but one thing is indisputable: AI is really good at Go. So good, in fact, that it's sent Lee So-dol, a former world champion and 9-dan Go master, into retirement after he realized artificial intelligence programs have become effectively unbeatable. 'With the debut of AI in Go games, I've realized that I'm not at the top even if I become the number one through frantic efforts,' he said after announcing his retirement. 'Even if I become the number one, there is an entity that cannot be defeated.' Lee Se-dol, South Korea's Go champion and the only human to win a game against Google's AlphaGo, has announced his retirement after declaring that AI'cannot be defeated' So-dol is the only human to have ever beaten AlphaGo, the dominant AI program developed by Google's DeepMind.

AlphaGo's uncanny success at the game of Go was taken by many as a death knell for the dominance of the human intellect, but Google researcher David Silver doesn't see it that way. Instead, he sees a world of potential benefits. As one of the lead architects behind Google DeepMind's AlphaGo system, which defeated South Korean Go champion Lee Se-dol 4 games to 1 in March, Silver believes the technology's next role should be to help advance human health. "We'd like to use these technologies to have a positive impact in the real world," he told an audience of A.I. researchers Tuesday at the International Joint Conference on Artificial Intelligence in New York. With more possible board combinations than there are atoms in the universe, Go has long been considered the ultimate challenge for A.I. researchers.

AlphaGo's uncanny success at the game of Go was taken by many as a death knell for the dominance of the human intellect, but Google researcher David Silver doesn't see it that way. Instead, he sees a world of potential benefits. As one of the lead architects behind Google DeepMind's AlphaGo system, which defeated South Korean Go champion Lee Se-dol 4 games to 1 in March, Silver believes the technology's next role should be to help advance human health. "We'd like to use these technologies to have a positive impact in the real world," he told an audience of AI researchers Tuesday at the International Joint Conference on Artificial Intelligence in New York. With more possible board combinations than there are atoms in the universe, Go has long been considered the ultimate challenge for AI researchers.

The game of Go is much loved by geeks for its simplicity and subtlety. So it's a little tragic to see AlphaGo, an AI developed by the alpha geeks at Google DeepMind, go 2-0 up against one of the best Go players in human history, Lee Se-dol. The second game in the best-of-5 match not only demonstrated the program's extraordinary strength as a Go player but also highlighted its ability to produce some surprisingly creative moves. These moves reflect the remarkable progress AI is making, as well as the gaps that still remain. AlphaGo's match against Se-dol is reminiscent of the battle between IBM's Deep Blue and Garry Kasparov, then the world chess champion, in 1997.

World Go champion Lee Se-dol has beaten AlphaGo, an AI program developed by Google's DeepMind unit this weekend, though he still trails the program 3-1 in the series. Google's publicity stunt highlights the progress which has been made in the world of artificial intelligence and machine learning, as commentators predicted a run-away victory for Se-dol. DeepMind founder Demis Hassabis commented on Twitter "Lee Sedol is playing brilliantly! We are in trouble now…" allowing Se-dol to win the fourth game in the five game series. While the stunt demonstrates the potential of machine learning, Se-dol's consolation victory proves that the technology is still capable of making mistakes.

This helps to validate DeepMind's machine learning techniques and the neural network construction behind it. Having proven their mettle in Go, the DeepMind team could now have the confidence (and funding) to tackle more complex AI challenges. ARTIFICIAL INTELLIGENCE (AI) just overcame a new hurdle: learning to play Go, a game considered thousands of times more complex than chess--well enough to beat the greatest human player at his own game. South Korean national Lee Se-dol, one of the world's top Go players, won only one of the five matches against Google's AlphaGo, missing out on the 1-million prize up for grabs in a recent'challenge' held in Seoul. AlphaGo, an AI system developed by Google DeepMind, just bested the best Go-playing human currently alive. This was not supposed to happen.

South Korean Go master Lee Se-dol is now down 0-2 to Google DeepMind's AlphaGo which is on the verge of a milestone achievement in artificial intelligence. Master Se-dol has expressed surprise and amazement at the sophistication and skill of his virtual opponent. It has taken a long time to get here. Games have long been an attractive development tool for artificial intelligence researchers. In 1994, a computer program excelled at checkers and in 1997 it was chess.