Difference between revisions of "Google DeepMind AlphaGo Zero"
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|title=PRIMO.ai | |title=PRIMO.ai | ||
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| − | |keywords=artificial, intelligence, machine, learning, models | + | |keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools |
| − | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | + | |
| + | <!-- Google tag (gtag.js) --> | ||
| + | <script async src="https://www.googletagmanager.com/gtag/js?id=G-4GCWLBVJ7T"></script> | ||
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}} | }} | ||
| − | [ | + | [https://www.youtube.com/results?search_query=AlphaGo+Zero+Architecture+Artificial+intelligence Youtube search...] |
| − | [ | + | [https://www.google.com/search?q=AlphaGo+Zero+Architecture+Artificial+deep+machine+learning+ML ...Google search] |
* [[Service Capabilities]] | * [[Service Capabilities]] | ||
* [[Evolutionary Computation / Genetic Algorithms]] | * [[Evolutionary Computation / Genetic Algorithms]] | ||
| − | * [[Architectures]] | + | * [[Architectures]] for AI ... [[Enterprise Architecture (EA)]] ... [[Enterprise Portfolio Management (EPM)]] ... [[Architecture and Interior Design]] |
| − | * [[Google DeepMind AlphaFold]] | + | * [[Protein Folding & Discovery]] ...[[Protein Folding & Discovery#Google DeepMind AlphaFold|Google DeepMind AlphaFold]] |
| + | * [[Google DeepMind AlphaStar]] | ||
* [[Minigo]] | * [[Minigo]] | ||
* [[Monte Carlo#Monte Carlo Tree Search|Monte Carlo Tree Search]] | * [[Monte Carlo#Monte Carlo Tree Search|Monte Carlo Tree Search]] | ||
| − | * [ | + | * [[Google]] |
| − | * [ | + | * [https://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] |
| − | * [ | + | * [https://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] |
| − | + | * [https://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] | |
| + | <youtube>b9H9AtbxpPM</youtube> | ||
<youtube>MgowR4pq3e8</youtube> | <youtube>MgowR4pq3e8</youtube> | ||
<youtube>Wujy7OzvdJk</youtube> | <youtube>Wujy7OzvdJk</youtube> | ||
<youtube>9kQ-6VcdtNQ</youtube> | <youtube>9kQ-6VcdtNQ</youtube> | ||
| + | <youtube>derC33ODrME</youtube> | ||
| − | * [ | + | * [https://medium.com/applied-data-science/alphago-zero-explained-in-one-diagram-365f5abf67e0 AlphaGo Zero Explained In One Diagram | David Foster] |
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Latest revision as of 19:49, 7 July 2023
Youtube search... ...Google search
- Service Capabilities
- Evolutionary Computation / Genetic Algorithms
- Architectures for AI ... Enterprise Architecture (EA) ... Enterprise Portfolio Management (EPM) ... Architecture and Interior Design
- Protein Folding & Discovery ...Google DeepMind AlphaFold
- Google DeepMind AlphaStar
- Minigo
- Monte Carlo Tree Search
- 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
- 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
- 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
