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

Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...

Machine learning can get a boost from quantum physics. On certain types of machine learning tasks, quantum computers have an exponential advantage over standard computation, scientists report in the ...

Master the right-hand rule in physics with this easy-to-follow tutorial! In this video, we explain how to use the right-hand rule correctly to determine directions of magnetic fields, currents, and ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

As enrollment numbers for the introductory chemistry and physics courses reach around 600 students each this semester, the need to understand how students learn in STEM classes only becomes more ...

image of Winners of the 2024 Nobel Prize in Physics, John J. Hopfield (left) and Geoffrey E. Hinton. Winners of the 2024 Nobel Prize in Physics, John J. Hopfield (left) and Geoffrey E. Hinton. Credit: ...