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DeepMind's David Silver on games, beauty, and AI's potential to avert human-made disasters

DeepMind’s David Silver is an elected Fellow of the Royal Society and recipient of the Mensa Foundation Prize for the best scientific discovery in the field of artificial intelligence. In this from-the-heart interview, I talk with Silver about games, the meaning of creativity, and AI’s potential to avert disasters such as climate change, human-made pathogens, mass poverty, and environmental catastrophe.
United Kingdom South Korea Demis Hassabis Royal Society University College London Association For Computing Machinery

Which is greater? The number of atoms in the universe or the number of chess moves?

We explore AIs mind blowing processing ability, from winning chess to finding new galaxies. The question came from Claude Shannon, inventor of ‘Information Theory’ in 1948. The theory uses mathematics to understand the rules governing the transmission of messages through communication systems, applicable to everything from computer code, speech and music, to the dancing of bees. Using maths and logic to understand the world around him, it wasnt long before Shannon began to wonder if ...
Soult Ukpyolsi South Korea South Africa Milky Way Magallanesy Antáica Chilena Jodrell Bank

Computing to win: Addressing the policy blind spot that threatens national AI ambitions

Computing to win: Addressing the policy blind spot that threatens national AI ambitions New Atlanticist by Saurabh Mishra and Keith Strier Servers run inside the Facebook New Albany Data Center on Thursday, February 6, 2020 in New Albany, Ohio. Photo via Joshua A. Bickel/Dispatch and Reuters. Artificial intelligence (AI) is causing significant structural changes to global competition and economic growth. AI may generate trillions of dollars in new value over th...
New Albany United States Karine Perset Joshuaa Bickel Centers Of Excellence National Youth

DeepMind MuZero AI can master games without knowing the rules

DeepMind MuZero AI can master games without knowing the rules JC Torres - Dec 23, 2020, 11:44pm CST The holy grail of AI has always been to enable computers to learn the way humans do. The most powerful AIs today, however, still rely on having certain known rules, like rules for a game of chess or Go. Human learning, however, is often messy in inferential, learning the rules of life as we go. DeepMind has long been trying to create such AIs using games as their environment an...
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DeepMind AI MuZero can learn AND master Chess, Go, Atari

DeepMind AI MuZero can learn AND master Chess, Go, Atari Chris Burns - Dec 23, 2020, 2:22pm CST Today the machine learning algorithm MuZero was detailed in a feature research paper in Nature. MuZero expands on the abilities of systems like AlphaGo, AlphaGo Zero, and AlphaZero. Each new algorithm allowed a smart machine to become better at mastering games, starting with Go, then Chess and Shogi, now Atari! What is MuZero? MuZero is a machine learning algorithm. An algorithm i...
Alphago Zero Mastering Atari மாஸ்டரிங் அட்டாரி

DeepMind's AI agent MuZero could turbocharge YouTube

BBC News By Leo Kelion image captionMuZero was tested against Atari video games, chess and other classic board games DeepMinds latest AI program can attain "superhuman performance" in tasks without needing to be given the rules. Like the research hubs earlier artificial intelligence agents, MuZero achieved mastery in dozens of old Atari video games, chess, and the Asian board games of Go and Shogi. But unlike its predecessors, it had to work out their rules for itself. It is already being put t...
Leo Kelion Wendy Hall University Of Southampton David Silver Alphago Zero வெண்டி மண்டபம்
Source: bbc.com

No rules, no problem: DeepMind's MuZero masters games while learning how to play them – TechCrunch

No rules, no problem: DeepMind’s MuZero masters games while learning how to play them DeepMind has made it a mission to show that not only can an AI truly become proficient at a game, it can do so without even being told the rules. Its newest AI agent, called MuZero, accomplishes this not just with visually simple games with complex strategies, like Go, Chess and Shogi, but with visually complex Atari games. The success of DeepMind’s earlier AIs was at least partly due to a very efficient n...
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Facebook Open-Sources Game Playing AI ReBeL

by Facebook AI Research (FAIR) published a paper on Recursive Belief-based Learning (ReBeL), their new AI for playing imperfect-information games that can defeat top human players in poker. The algorithm combines reinforcement learning (RL) with state-space search and converges to a Nash equilibrium for any two player zero sum game. Code for training the algorithm to play Liars Dice has been open-sourced. FAIR researchers Noam Brown and Anton Bakhtin gave an overview of the system in a blog po...
United States Noam Brown Dong Kim Anton Bakhtin Facebook Ai Research Recursive Belief Based Learning
Source: infoq.com

Why We Should Pay More Attention to Deep Learning | Association of Certified E-Discovery Specialists (ACEDS)

To embed, copy and paste the code into your website or blog: In March 2016, Lee Sedol, the Korean Go 18-time world champion, played and lost a five-game match against DeepMind’s AlphaGo, a Go-playing program that used deep learning networks to evaluate board positions and possible moves. Go is to Chess in difficulty as chess is to checkers. If chess is a battle, Go is a war. A 19×19 Go board is much larger than an 8×8 chessboard, which makes it possible to have several battles raging in dif...
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