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Nenad Tomašev

Showing results (1-10 of 9) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|March 26, 2025
Bridging the human-AI knowledge gap through concept discovery and transfer in AlphaZeroLisa Schut, Nenad Tomašev, Thomas McGrath, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 14, 2022
Acquisition of chess knowledge in AlphaZeroThomas McGrath, Andrei Kapishnikov, Nenad Tomašev, et al.
Nature|December 2, 2021
Advancing mathematics by guiding human intuition with AIAlex Davies, Petar Veličković, Lars Buesing, et al.
Nature Communications|March 20, 2024
TacticAI: an AI assistant for football tacticsZhe Wang, Petar Veličković, Daniel Hennes, et al.
Nature|August 2, 2019
A clinically applicable approach to continuous prediction of future acute kidney injuryNenad Tomašev, Xavier Glorot, Jack W Rae, et al.
Nature Communications|May 20, 2020
AI for social good: unlocking the opportunity for positive impactNenad Tomašev, Julien Cornebise, Frank Hutter, et al.
Nature Protocols|May 6, 2021
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health recordsNenad Tomašev, Natalie Harris, Sebastien Baur, et al.
Nature Medicine|January 8, 2025
Toward expert-level medical question answering with large language modelsKaran Singhal, Tao Tu, Juraj Gottweis, et al.
Nature|May 19, 2026
Accelerating scientific discovery with Co-ScientistJuraj Gottweis, Wei-Hung Weng, Alexander Daryin, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Proceedings of the National Academy of Sciences of the United States of America|March 26, 2025
Bridging the human-AI knowledge gap through concept discovery and transfer in AlphaZeroLisa Schut, Nenad Tomašev, Thomas McGrath, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 14, 2022
Acquisition of chess knowledge in AlphaZeroThomas McGrath, Andrei Kapishnikov, Nenad Tomašev, et al.
Nature|December 2, 2021
Advancing mathematics by guiding human intuition with AIAlex Davies, Petar Veličković, Lars Buesing, et al.
Nature Communications|March 20, 2024
TacticAI: an AI assistant for football tacticsZhe Wang, Petar Veličković, Daniel Hennes, et al.
Nature|August 2, 2019
A clinically applicable approach to continuous prediction of future acute kidney injuryNenad Tomašev, Xavier Glorot, Jack W Rae, et al.
Nature Communications|May 20, 2020
AI for social good: unlocking the opportunity for positive impactNenad Tomašev, Julien Cornebise, Frank Hutter, et al.
Nature Protocols|May 6, 2021
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health recordsNenad Tomašev, Natalie Harris, Sebastien Baur, et al.
Nature Medicine|January 8, 2025
Toward expert-level medical question answering with large language modelsKaran Singhal, Tao Tu, Juraj Gottweis, et al.
Nature|May 19, 2026
Accelerating scientific discovery with Co-ScientistJuraj Gottweis, Wei-Hung Weng, Alexander Daryin, et al.
Pageof 1