[ExI] DeepMind Wins Pivotal Second Game In Match With Go Grandmaster

[CryptAxe]

This is all really fascinating to follow, and seems like a huge leap
forward. Is there some kind of equivalent to Moore's law for describing the
progress of AI? If not there probably should be, as we are hopefully
nearing a similar exponential growth in AI.

On Thu, Mar 10, 2016 at 3:49 AM, BillK <pharos at gmail.com> wrote:

> After more than four hours of tight play and a rapid-fire end game,
> Google’s artificially intelligent Go-playing computer system has won a
> second contest against grandmaster Lee Sedol, taking a
> two-games-to-none lead in their historic best-of-five match in
> downtown Seoul.
> <
> http://www.wired.com/2016/03/googles-ai-wins-pivotal-game-two-match-go-grandmaster/
> >
>
> Quote:
>
> A New Autonomy
>
> This is particularly true of AlphaGo, which is driven so heavily by
> machine learning—technologies that allow it to learn tasks largely on
> its own. Hassabis and his team originally built AlphaGo using what are
> called deep neural networks, vast networks of hardware and software
> that mimic the web of neurons in the human brain. Essentially, they
> taught AlphaGo to play the game by feeding thousands upon thousands of
> human Go moves into these neural networks.
>
> But then, using a technique called reinforcement learning, they
> matched AlphaGo against itself. By playing match after match on its
> own, the system could learn to play at an even higher level—perhaps at
> a level that eclipses the skills of any human. That’s why it produces
> such unexpected moves.
>
> During the match, the commentators even invited DeepMind research
> scientist Thore Graepel onto their stage to explain the system’s
> rather autonomous nature. “Although we have programmed this machine to
> play, we have no idea what moves it will come up with,” Graepel said.
> “Its moves are an emergent phenomenon from the training. We just
> create the data sets and the training algorithms. But the moves it
> then comes up with are out of our hands—and much better than we, as Go
> players, could come up with.”
> ------------
>
> This really sounds like a big leap forward in AI.
>
>
> BillK
>
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