Journal: Nat. Mach. Intell.

Volume 3, Issue 7

555 -- 0. AI on the beach
556 -- 565Zachary S. Ballard, Calvin Brown, Asad M. Madni, Aydogan Ozcan. Machine learning and computation-enabled intelligent sensor design
566 -- 571Gregory Falco, Ben Shneiderman, Julia Badger, Ryan Carrier, Anton Dahbura, David Danks, Martin Eling, Alwyn Goodloe, Jerry Gupta, Christopher Hart, Marina Jirotka, Henric Johnson, Cara Lapointe, Ashley J. Llorens, Alan K. Mackworth, Carsten Maple, Sigurður Emil Pálsson, Frank Pasquale, Alan F. T. Winfield, Zee Kin Yeong. Governing AI safety through independent audits
572 -- 575Jon Paul Janet, Anna Tomberg, Jonas Boström. Reusability report: Learning the language of synthetic methods used in medicinal chemistry
590 -- 600Yijun Bao, Somayyeh Soltanian-Zadeh, Sina Farsiu, Yiyang Gong. Segmentation of neurons from fluorescence calcium recordings beyond real time
601 -- 609Jinbo Xu, Matthew McPartlon, Jin Li. Improved protein structure prediction by deep learning irrespective of co-evolution information
610 -- 619Alex J. DeGrave, Joseph D. Janizek, Su-In Lee. AI for radiographic COVID-19 detection selects shortcuts over signal
620 -- 631Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee. Improving performance of deep learning models with axiomatic attribution priors and expected gradients
632 -- 640Brodie Fischbacher, Sarita Hedaya, Brigham J. Hartley, Zhongwei Wang, Gregory Lallos, Dillion Hutson, Matthew Zimmer, Jacob Brammer, Daniel Paull. Modular deep learning enables automated identification of monoclonal cell lines
641 -- 651Christian Lagemann, Kai Lagemann, Sach Mukherjee, Wolfgang Schröder 0001. Deep recurrent optical flow learning for particle image velocimetry data
652 -- 0Ania Korsunska, David C. Fajgenbaum. Publisher Correction: Back to the future with machine learning