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Scientific discovery in the age of artificial intelligence

Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne J. Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie‐Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Veličković, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Žitnik

Nature, 2023

California Institute of Technology, University of Cambridge, ScienceSouth, Stanford University, Georgia Institute of Technology, Cornell University, Massachusetts Institute of Technology, Harvard–MIT Division of Health Sciences and Technology, Mila - Quebec Artificial Intelligence Institute, Université de Montréal, Brown University, Nvidia (United States), Princeton University, Flatiron Health (United States), Flatiron Institute, New York University, Carnegie Mellon University, Google DeepMind (United Kingdom), Google (United Kingdom), Microsoft Research Asia (China), Harvard University, Broad Institute, Center for Systems Biology, Mohamed bin Zayed University of Artificial Intelligence, University of Illinois Urbana-Champaign, HEC Montréal, Canadian Institute for Advanced Research, Microsoft (Netherlands), Amsterdam University of the Arts, University of Amsterdam, Dana-Farber/Harvard Cancer Center, Artificial Intelligence in Medicine (Canada)

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