Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Demis, Hassabis"'
Autor:
Zhe Wang, Petar Veličković, Daniel Hennes, Nenad Tomašev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Identifying key patterns of tactics implemented by rival teams, and developing effective responses, lies at the heart of modern football. However, doing so algorithmically remains an open research challenge. To address this unmet need, we pr
Externí odkaz:
https://doaj.org/article/4e2cc0c95c534699b8aa140969a9e873
Autor:
Shayegan Omidshafiei, Daniel Hennes, Marta Garnelo, Zhe Wang, Adria Recasens, Eugene Tarassov, Yi Yang, Romuald Elie, Jerome T. Connor, Paul Muller, Natalie Mackraz, Kris Cao, Pol Moreno, Pablo Sprechmann, Demis Hassabis, Ian Graham, William Spearman, Nicolas Heess, Karl Tuyls
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract In multiagent worlds, several decision-making individuals interact while adhering to the dynamics constraints imposed by the environment. These interactions, combined with the potential stochasticity of the agents’ dynamic behaviors, make
Externí odkaz:
https://doaj.org/article/192854ff4dc4403484d20b7e41392f27
Autor:
Irina Higgins, Le Chang, Victoria Langston, Demis Hassabis, Christopher Summerfield, Doris Tsao, Matthew Botvinick
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Little is known about the brain’s computations that enable the recognition of faces. Here, the authors use unsupervised deep learning to show that the brain disentangles faces into semantically meaningful factors, like age or the presence of a smil
Externí odkaz:
https://doaj.org/article/7644350a1e17449c9aab6e68c258b6f9
Publikováno v:
Communications of the ACM. 65:60-66
AI is driving the next evolution of chess, giving players a glimpse into the game's future.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::237aaea537751cea185049fea838880a
https://doi.org/10.1145/3460349
https://doi.org/10.1145/3460349
Autor:
David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio
Publikováno v:
ACM Computing Surveys, 55 (2)
Climate change is one of the greatest challenges facing humanity, and we, as machine learning (ML) experts, may wonder how we can help. Here we describe how ML can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb10b76553baaecc5fc171c55af079a3
Autor:
Daniel Zheng, Sam Blackwell, Charles Blundell, Demis Hassabis, Marc Lackenby, Alexander E. Davies, Richard Tanburn, Geordie Williamson, Nenad Tomasev, András Juhász, Lars Buesing, Pushmeet Kohli, Petar Veličković, Peter W. Battaglia
Publikováno v:
Nature
The practice of mathematics involves discovering patterns and using these to formulate and prove conjectures, resulting in theorems. Since the 1960s, mathematicians have used computers to assist in the discovery of patterns and formulation of conject
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57d6a88b2f50aa2cdc122a9a5608e067
http://europepmc.org/articles/PMC8636249
http://europepmc.org/articles/PMC8636249
Autor:
Gerard J. Kleywegt, Mira Lutfi, Ellen Clancy, Galabina Yordanova, Augustin Žídek, Mandar Deshpande, Richard E. Green, Kathryn Tunyasuvunakool, David Yu Yuan, Andrew Cowie, Gemma Wood, Demis Hassabis, Tim Green, Michael Figurnov, Sreenath Nair, Agata Laydon, Ewan Birney, John M. Jumper, Stig Petersen, Sameer Velankar, Oana Stroe, Pushmeet Kohli, Nicole Hobbs, Mihaly Varadi, Cindy Natassia, Stephen Anyango, Ankur Vora
Publikováno v:
Nucleic Acids Research
The AlphaFold Protein Structure Database (AlphaFold DB, https://alphafold.ebi.ac.uk) is an openly accessible, extensive database of high-accuracy protein-structure predictions. Powered by AlphaFold v2.0 of DeepMind, it has enabled an unprecedented ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc8c0db01b3ccaab872f8e319f80ac35
http://europepmc.org/articles/PMC8728224
http://europepmc.org/articles/PMC8728224
Autor:
Demis Hassabis
Publikováno v:
Research-Technology Management. 64:18-23
It’s a great honor to be awarded the IRI Medal and to join so many luminaries from the past, some of whom are scientific and innovation heroes of mine.Today I’m going to talk about the potential to...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fe73f527dd71edac3ee46ba8f026ca5
https://doi.org/10.1080/08956308.2021.1972390
https://doi.org/10.1080/08956308.2021.1972390
Autor:
Thomas McGrath, Andrei Kapishnikov, Nenad Tomašev, Adam Pearce, Martin Wattenberg, Demis Hassabis, Been Kim, Ulrich Paquet, Vladimir Kramnik
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 119(47)
What is learned by sophisticated neural network agents such as AlphaZero? This question is of both scientific and practical interest. If the representations of strong neural networks bear no resemblance to human concepts, our ability to understand fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac76a7f4298be64e7006ffb64dcfa4d7
https://pubmed.ncbi.nlm.nih.gov/36375061
https://pubmed.ncbi.nlm.nih.gov/36375061
Autor:
Ellen Clancy, John M. Jumper, Simon A. A. Kohl, Pushmeet Kohli, Andrew Cowie, Andrew J. Ballard, David Reiman, Gerard J. Kleywegt, Agata Laydon, Ewan Birney, Alexander Pritzel, Clemens Meyer, Michal Zielinski, Alex Bridgland, Stig Petersen, Jonas Adler, Tim Green, Michael Figurnov, Alex Bateman, Russell Bates, Zachary Wu, Andrew W. Senior, Stanislav Nikolov, Demis Hassabis, Koray Kavukcuoglu, Sameer Velankar, Bernardino Romera-Paredes, Augustin Žídek, Kathryn Tunyasuvunakool, R. D. Jain, Olaf Ronneberger, Richard Evans, Anna Potapenko
Publikováno v:
Nature
Protein structures can provide invaluable information, both for reasoning about biological processes and for enabling interventions such as structure-based drug development or targeted mutagenesis. After decades of effort, 17% of the total residues i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::738d4dd93a9bafd9e4688b91a8467f86
http://europepmc.org/articles/PMC8387240
http://europepmc.org/articles/PMC8387240