Machine learning helps mathematicians make new connections

Journal Reference: Alex Davies, Petar Veličković, Lars Buesing, Sam Blackwell, Daniel Zheng, Nenad Tomašev, Richard Tanburn, Peter Battaglia, Charles Blundell, András Juhász, Marc Lackenby, Geordie Williamson, Demis Hassabis, Pushmeet Kohli. Advancing mathematics by guiding human intuition with AI. Nature, 2021; 600 (7887): 70 DOI: 10.1038/s41586-021-04086-x While computers have long been used to generate data for … Read more

Machine learning refines earthquake detection capabilities

Journal Reference: Bertrand Rouet-Leduc, Romain Jolivet, Manon Dalaison, Paul A. Johnson, Claudia Hulbert. Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning. Nature Communications, 2021; 12 (1) DOI: 10.1038/s41467-021-26254-3 “Applying machine learning to InSAR data gives us a new way to understand the physics behind tectonic faults and earthquakes,” said Bertrand Rouet-Leduc, … Read more

Robert Lewandowski, will the goal machine get the Ballon d’Or?

At 33, the Pole dominates all the scorers’ rankings: in the Champions League (8), in the Bundesliga (12 after 10 days) but also in all the major European leagues, ahead of Mohammed Salah in England (10), Karim Benzema and Ciro Immobile in Spain and Italy (9), Jonathan David in France (8). “I never thought you … Read more

Machine learning can be fair and accurate

Journal Reference: Kit T. Rodolfa, Hemank Lamba, Rayid Ghani. Empirical observation of negligible fairness–accuracy trade-offs in machine learning for public policy. Nature Machine Intelligence, 2021; 3 (10): 896 DOI: 10.1038/s42256-021-00396-x As the use of machine learning has increased in areas such as criminal justice, hiring, health care delivery and social service interventions, concerns have grown … Read more

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