The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

AI optimists envision a future where artificial general intelligence surpasses human intelligence, but the path remains riddled with scientific hurdles.

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

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

Five scientists from Lawrence Berkeley National Laboratory (Berkeley Lab) have received Early Career Research Program (ECRP) awards from the ...

Researchers using the Frontier supercomputer at Oak Ridge National Laboratory have identified aerothermal flaws in jet engine turbine blades that conventional simulation methods could not detect. The ...

Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...

Princeton Plasma Physics Laboratory plans to launch a new AI project, called STELLAR-AI, to lower costs and heighten efficiency for experiments. The program is anticipated to launch in 2027, and is ...

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 ...

BANGALORE, India , Feb. 17, 2026 /PRNewswire/ -- According to Valuates Reports, The global market for AI in Biotechnology was valued at USD 1033 Million in the year 2024 and is projected to reach a ...

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 ...

Eight University of Chicago scholars have earned Sloan Research Fellowships, which recognize early-career scholars’ potential to make substantial contributions to their fields.