Publisher Correction: Scientific discovery in the age of artificial intelligence

被引:0
|
作者
Hanchen Wang
Tianfan Fu
Yuanqi Du
Wenhao Gao
Kexin Huang
Ziming Liu
Payal Chandak
Shengchao Liu
Peter Van Katwyk
Andreea Deac
Anima Anandkumar
Karianne Bergen
Carla P. Gomes
Shirley Ho
Pushmeet Kohli
Joan Lasenby
Jure Leskovec
Tie-Yan Liu
Arjun Manrai
Debora Marks
Bharath Ramsundar
Le Song
Jimeng Sun
Jian Tang
Petar Veličković
Max Welling
Linfeng Zhang
Connor W. Coley
Yoshua Bengio
Marinka Zitnik
机构
[1] University of Cambridge,Department of Engineering
[2] California Institute of Technology,Department of Computing and Mathematical Sciences
[3] Georgia Institute of Technology,Department of Computational Science and Engineering
[4] Cornell University,Department of Computer Science
[5] Massachusetts Institute of Technology,Department of Chemical Engineering
[6] Stanford University,Department of Computer Science
[7] Massachusetts Institute of Technology,Department of Physics
[8] Harvard-MIT Program in Health Sciences and Technology,Department of Earth, Environmental and Planetary Sciences
[9] Mila – Quebec AI Institute,Data Science Institute
[10] Université de Montréal,Center for Computational Astrophysics
[11] Brown University,Department of Astrophysical Sciences
[12] Brown University,Department of Physics
[13] NVIDIA,Department of Physics and Center for Data Science
[14] Flatiron Institute,Department of Biomedical Informatics
[15] Princeton University,Department of Systems Biology
[16] Carnegie Mellon University,Department of Computer Science and Technology
[17] New York University,Department of Electrical Engineering and Computer Science
[18] Google DeepMind,Kempner Institute for the Study of Natural and Artificial Intelligence
[19] Microsoft Research,Department of Research and Early Development
[20] Harvard Medical School,Department of Computer Science
[21] Harvard Medical School,undefined
[22] Broad Institute of MIT and Harvard,undefined
[23] Deep Forest Sciences,undefined
[24] BioMap,undefined
[25] Mohamed bin Zayed University of Artificial Intelligence,undefined
[26] University of Illinois at Urbana-Champaign,undefined
[27] HEC Montréal,undefined
[28] CIFAR AI Chair,undefined
[29] University of Cambridge,undefined
[30] University of Amsterdam,undefined
[31] Microsoft Research Amsterdam,undefined
[32] DP Technology,undefined
[33] AI for Science Institute,undefined
[34] Massachusetts Institute of Technology,undefined
[35] Harvard Data Science Initiative,undefined
[36] Harvard University,undefined
[37] Genentech Inc,undefined
[38] Stanford University,undefined
来源
Nature | 2023年 / 621卷
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页码:E33 / E33
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