Mastering the game of Go with deep neural networks and tree search.
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever
January 2016 NatureSynopsis of Social media discussions
The overall discussions reflect a strong consensus on the importance and innovative nature of the research, with phrases like 'first AI to beat a world champion' and 'revolutionize AI performance' illustrating excitement and profound impact. The tone emphasizes admiration for the technical breakthroughs, highlighting both the novelty and significance of AlphaGo's achievements.
Agreement
Strong agreementMost discussions clearly support the significance of AlphaGo's achievement, emphasizing how it 'beat the world champion' and 'revolutionized AI performance.'
Interest
High level of interestThe posts consistently highlight the groundbreaking nature of the research, indicating high curiosity and engagement with the topic.
Engagement
High engagementMany discussions cite key aspects of the publication, such as the deep neural networks, the innovative search algorithm, and the top-level performance, demonstrating deep engagement.
Impact
High level of impactPosts stress the transformative impact on AI and strategic gaming, with phrases like 'game changer' and 'human-level strategy in silicon,' underlining high perceived influence.
Social Mentions
YouTube
2 Videos
Bluesky
1 Posts
8 Posts
9 Posts
1 Posts
1 Posts
Blogs
3 Articles
News
13 Articles
7 Posts
Metrics
Video Views
2,123
Total Likes
47
Extended Reach
47,828
Social Features
45
Timeline: Posts about article
Top Social Media Posts
Mert Cobanov
[2016] Mastering the game of Go with deep neural networks and tree search (6310 citations)
Kasparov'un yenilgisinden sonra, Go, yapay zeka topluluğunun bir sonraki hedefi haline gelmiş. AlphaGo, arama ağacını daraltmak ve kısaltılmak için kullanılıyor https://t.co/L7eT1cPbwp
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shaan
8. mastering the game of go with deep neural networks and tree search (2016)
https://t.co/H3RVo8iccW
alphago, a glimpse of human-level strategy in silicon.
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キムチ
大学生の兄を利用してネイチャーの囲碁AI論文を読もうとするも日本語でも理解できなさそうな文章を英語で書かれてて断念
こういうタイトルなので英語に自信ある人はぜひ読んで
Mastering the game of Go with deep neural networks and tree search
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Anomtech
Thread: Key Takeaways from ''Mastering the game of Go with deep neural networks and tree search'' ;
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Sirius
Artificial Intelligence
Turing, A.M., 2009. Computing machinery and intelligence.
Silver, David, et al. "Mastering the game of Go with deep neural networks and tree search."
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10. Mastering the Game of Go with Deep Neural Networks and Tree Search (2016) Authors: DeepMind (David Silver et al.) Link: https://t.co/Ui8CWtEseQ Why It’s Important This paper introduced AlphaGo, the first AI to beat a world champion at Go—a game once thought impossible for
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@raja_dandugula (Twitter)8. Deep Residual Learning for Image Recognition 9. Long Short-Term Memory 10. AlphaGo: Mastering the Game of Go with Deep Neural Networks and Tree Search Please suggest any good resources if there for detailed explanation or any modifications in this paper selection.
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@handle.invalid (Bluesky)How about reading "Mastering the Game of Go with Deep Neural Networks and Tree Search" (http://airesearch.com/wp-content/uploads/2016/01/deepmind-mastering-go.pdf)?
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Roiki
@roscoe_x1 (Twitter)Key team members also included Aja Huang, Chris Maddison, Ioannis Antonoglou, and Thore Graepel, among others, as listed in the paper Mastering the Game of Go with Deep Neural Networks and Tree Search (2016).
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Anomtech
@AnomtechX (Twitter)Thread: Key Takeaways from ''Mastering the game of Go with deep neural networks and tree search'' ;
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キムチ
@tk74desu (Twitter)大学生の兄を利用してネイチャーの囲碁AI論文を読もうとするも日本語でも理解できなさそうな文章を英語で書かれてて断念 こういうタイトルなので英語に自信ある人はぜひ読んで Mastering the game of Go with deep neural networks and tree search
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Sirius
@rollingSirius (Twitter)Artificial Intelligence Turing, A.M., 2009. Computing machinery and intelligence. Silver, David, et al. "Mastering the game of Go with deep neural networks and tree search."
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Mert Cobanov
@mertcobanov (Twitter)[2016] Mastering the game of Go with deep neural networks and tree search (6310 citations) Kasparov'un yenilgisinden sonra, Go, yapay zeka topluluğunun bir sonraki hedefi haline gelmiş. AlphaGo, arama ağacını daraltmak ve kısaltılmak için kullanılıyor https://t.co/L7eT1cPbwp
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ChainOfThought
@0x445352 (Twitter)2/15: "AlphaGo" (2016) - A computer program developed by DeepMind that beat the world champion at the board game Go. Researchers: DeepMind team. Paper: "Mastering the Game of Go with Deep Neural Networks and Tree Search"
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Abstract Synopsis
- The article discusses a new AI approach to playing Go, which uses deep neural networks for evaluating board positions and choosing moves, trained through both expert gameplay and self-play reinforcement learning.
- The AI, called AlphaGo, can play at a top professional level without relying on traditional search methods, matching or surpassing existing Go programs and even defeating a human European champion 5-0.
- A novel search algorithm is introduced, combining Monte Carlo simulations with the neural networks, enabling AlphaGo to make highly accurate move decisions and revolutionize AI performance in complex games.
Rocky Bhatia
@IamRockybhatia (Twitter)