GitHub - leela-zero/leela-zero: Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Why AlphaGo Is Not AI
This is a guest post. The views expressed here are solely those of the author and do not represent positions of IEEE Spectrum or the IEEE. What is AI and what is not AI is, to some extent, a matter of definition. There is no denying that AlphaGo, the Go-playing artificial intelligence designed by Google DeepMind that recently beat world champion Lee Sedol, and similar deep learning approaches have
AlphaGoのDeepMind社、汎用人工知能向け理論を更新
米Google社傘下で、囲碁を打つ人工知能「AlphaGo」を開発した英Google DeepMind社と米Stanford Universityの研究者は、人間などの脳の解剖学的知見を基にした学習と記憶のモデルを共同で提案したと、学術誌「Cell」などを出版する米Cell Press社が発表した。論文もCell誌の「Trends in Cognitive Science」で無料公開された。AlphaGoのような特定用途の人工知能を、人間に近い汎用人工知能（Artificial General Intelligence：AGI）に近づける試みの1つといえる。 論文の著者は3人。筆頭著者は、DeepMind社のDharshan Kumaran氏。同氏は英University of College London、Institute of Cognitive Neuroscienceの研究者でも
Is AlphaGo Really Such a Big Deal? | Quanta Magazine
In 1997, IBM’s Deep Blue system defeated the world chess champion, Garry Kasparov. At the time, the victory was widely described as a milestone in artificial intelligence. But Deep Blue’s technology turned out to be useful for chess and not much else. Computer science did not undergo a revolution. Will AlphaGo, the Go-playing system that recently defeated one of the strongest Go players in history
Geoffrey Hinton, the 'godfather' of deep learning, on AlphaGo
South Korean professional Go player Lee Sedol reviews the match after finishing the final match of the Google DeepMind Challenge Match against Google’s artificial intelligence program, AlphaGo, in Seoul, South Korea, Tuesday, March 15, 2016. Google’s Go-playing computer program again defeated its human opponent in a final match on Tuesday that sealed its 4:1 victory. (Lee Jin-man/AP) In the right
AlphaGo対李世ドル - Wikipedia
本来の表記は「AlphaGo対李世乭」です。この記事に付けられたページ名は技術的な制限または記事名の制約により不正確なものとなっています。 AlphaGo対李世乭（アルファご・たい・イ・セドル）は、韓国のプロ棋士である李世乭と、Google DeepMindが開発したコンピュータ囲碁プログラムAlphaGoの五番勝負である。 対局はコミ7目半の中国ルールで、持ち時間は2時間で、切れると1手1分の秒読み、ただし1分単位で合計3回の考慮時間がある[1]。 勝者（勝ち越し者）は100万米ドルの賞金を得る。もしAlphaGoが勝利すれば、賞金はUNICEFを含むチャリティーへ寄付される[2]。賞金に加えて、李世乭は全5戦の対局料として15万米ドル、1勝につき2万米ドルを得る[1]。 概要[編集] 囲碁は長い間、AIの分野における難問と見なされており、チェスや将棋でコンピュータがプロ相手に勝利を収め
Go Grandmaster Lee Sedol Grabs Consolation Win Against Google's AI
SEOUL, SOUTH KOREA --- Korean Go grandmaster Lee Sedol has won his first game against AlphaGo, Google's artificially intelligent computing system, after losing three straight in this week's historic match. AlphaGo had already claimed victory in the best-of-five contest, a test of artificial intelligence closely watched in Asia and across the tech world. But on Sunday evening inside Seoul's Four Se
Match 3 - Google DeepMind Challenge Match: Lee Sedol vs AlphaGo - YouTube
Watch DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul. This is the livestream for Match 3 to be played on: 12th March 13:00 KST (local), 04:00 GMT; note for US viewers this is the day before on: 11th March 20:00 PT, 23:00 ET. In October 2015, AlphaGo became the first computer program ever to be
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囲碁AI、人間圧倒し「引退」 医療・エネに応用へ - 日本経済新聞
「AlphaGoは楽しい」対局中のプロ棋士5人の笑顔が物語るもの：現地レポート
GitHub - brilee/MuGo: Replicating AlphaGo's architecture in a readable manner
Google、独自の人工知能アクセラレータを発表 ～ストリートビューやAlphaGoなどで利用、7年分の技術進歩に相当する高効率
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Michael Redmond (Go player) - Wikipedia
GitHub - Rochester-NRT/RocAlphaGo: An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on the