The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Home > Pressemitteilung: Machine Learning Helps Solve Central ...

Historian Philip Decker, mathematician Victor Geadah, computer scientist Sayash Kapoor, and literary scholar Eliana Rozinov are this year’s Porter Ogden Jacobus Fellows.

Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...

University of California San Diego faculty members Valentina Di Santo, Fleur Ferguson, Mattia Serra and Hao Zhang have been named 2026 Sloan Research Fellows, an honor given by the Alfred P. Sloan ...

David Blackwell’s math powers modern AI. Explore his story, legacy, and why Nvidia named its flagship chip after him.

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Abstract: Machine learning is widely used to solve networking challenges, ranging from traffic classification and anomaly detection to network configuration. However, machine learning also requires ...

Abstract: This paper provides a systematic overview of machine learning methods applied to solve NP-hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both the machine ...

Last December, several members of a national organization for math education leaders came together to issue a warning. A growing movement in the field, they claimed, was calling on schools to adopt an ...