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AlphaGo

āļž.āļĻ. 2560 â€Ē 90 āļ™āļēāļ—āļĩ
4.6
227 āļĢāļĩāļ§āļīāļ§
100%
Tomatometer
āļĄāļĩāļŠāļīāļ—āļ˜āļīāđŒ
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On March 9, 2016, the worlds of Go and artificial intelligence collided in South Korea. The best-of-five-game competition, coined The DeepMind Challenge Match, pitted a legendary Go master against an AI program that was still learning to play the world’s most complex board game. AlphaGo chronicles a journey from the backstreets of Bordeaux, past the coding terminals of Google DeepMind in London, and, ultimately, to the seven-day tournament in Seoul. As the drama unfolds before an audience of over 200 million viewers worldwide, more questions emerge: What can artificial intelligence reveal about a 3000-year-old game? What will it teach us about humanity?

āļāļēāļĢāđƒāļŦāđ‰āļ„āļ°āđāļ™āļ™āđāļĨāļ°āļĢāļĩāļ§āļīāļ§

4.6
227 āļĢāļĩāļ§āļīāļ§
Yi-Bing Zhang
3 āļ˜āļąāļ™āļ§āļēāļ„āļĄ 2560
Such an honor to have worked with this team during this year's AlphaGo match in Wuzhen. The DeepMind team is an incredibly talented group and led by a good-hearted leader that continues to do good for the humanity.
H S
29 āļŠāļīāļ‡āļŦāļēāļ„āļĄ 2561
I think really needs the part about master some parts not articulated that well and some stuff is just blatantly wrong (such as when someone says that humans always want to win by as much as possible humans take extra territory because they see no risk alphago sets risk to everything even like 0.001% win rate on things humans consider "no risk") Also missing later stuff with master vs Kie Jie but covers very historically significant event
Ben Murdoch
3 āļ˜āļąāļ™āļ§āļēāļ„āļĄ 2560
This is such a beautiful telling of this historic moment. They included so well the struggle that Fan Hui and Lee Sedol felt as they played, and highlighted the dilemma that many researchers are feeling right now our the power of AI algorithms increases. A scientist friend of mine said, "It made me feel things."