Difference between revisions of "Google DeepMind AlphaStar"

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|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS  
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
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[http://www.youtube.com/results?search_query=AlphaGo+Zero+Architecture+Artificial+intelligence Youtube search...]
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[https://www.youtube.com/results?search_query=AlphaStar+Artificial+intelligence Youtube search...]
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[http://www.google.com/search?q=AlphaGo+Zero+Architecture+Artificial+deep+machine+learning+ML ...Google search]
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[https://www.google.com/search?q=AlphaStar+Artificial+deep+machine+learning+ML ...Google search]
  
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* [https://deepmind.com/blog/article/alphastar-mastering-real-time-strateAlphaStargy-game-starcraft-ii AlphaStar: Mastering the Real-Time Strategy Game StarCraft II | Google]
 
* [[Service Capabilities]]
 
* [[Service Capabilities]]
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* [[Evolutionary Computation / Genetic Algorithms]]
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* [[Symbiotic Intelligence]] ... [[Bio-inspired Computing]] ... [[Neuroscience]] ... [[Connecting Brains]] ... [[Nanobots#Brain Interface using AI and Nanobots|Nanobots]] ... [[Molecular Artificial Intelligence (AI)|Molecular]] ... [[Neuromorphic Computing|Neuromorphic]] ... [[Evolutionary Computation / Genetic Algorithms| Evolutionary/Genetic]]
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* [[Architectures]]
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* [[Architectures]] for AI ... [[Generative AI Stack]] ... [[Enterprise Architecture (EA)]] ... [[Enterprise Portfolio Management (EPM)]] ... [[Architecture and Interior Design]]
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* [[Google DeepMind AlphaFold]]
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* [[Protein Folding & Discovery]] ...[[Protein Folding & Discovery#Google DeepMind AlphaFold|Google DeepMind AlphaFold]]
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* [[Google DeepMind AlphaStar]]
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* [[Google DeepMind AlphaGo Zero]]
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* [[Minigo]]
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* [[Google]]
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* [[Monte Carlo#Monte Carlo Tree Search|Monte Carlo Tree Search]]
 
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* [http://www.nature.com/articles/nature16961 Mastering the game of Go with deep neural networks and tree search | D. Silver, A. Huang, C. Maddison, A. Guez, L. Sifre, G. van den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, S. Dieleman, D. Grewe, J. Nham, N. Kalchbrenner, I. Sutskever, T. Lillicrap, M. Leach, K. Kavukcuoglu, T. Graepel & D. Hassabis - Nature]
 
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* [http://www.nature.com/articles/nature24270.epdf?author_access_token=VJXbVjaSHxFoctQQ4p2k4tRgN0jAjWel9jnR3ZoTv0PVW4gB86EEpGqTRDtpIz-2rmo8-KG06gqVobU5NSCFeHILHcVFUeMsbvwS-lxjqQGg98faovwjxeTUgZAUMnRQ Mastering the game of Go without human knowledge | Google DeepMind: D. Silver, J. Schrittwieser, K. Simonyan, I. Antonoglou, A. Huang, A. Guez, T. Hubert, L. Baker, M. Lai, A. Bolton, Y. Chen, T. Lillicrap, F. Hui, L. Sifre, G. wan den Driessehe, T. Graepel, & D. Hassabis]
 
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* [http://science.sciencemag.org/content/sci/362/6419/1140.full.pdf A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play | Google DeepMind: D. Silver, J. Schrittwieser, K. Simonyan, I. Antonoglou, A. Huang, A. Guez, T. Hubert, L. Baker, M. Lai, A. Bolton, Y. Chen, T. Lillicrap, F. Hui, L. Sifre, G. wan den Driessehe, T. Graepel, & D. Hassabis - Science]  
 
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Latest revision as of 13:53, 18 September 2023

Youtube search... ...Google search

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