In the AI era, pure data-driven meteorological and climate models are gradually catching up with, and even surpassing, traditional numerical models. However, significant challenges persist in current ...

It’s often said in science that extraordinary claims require extraordinary evidence. Recent measurements of the mass of the elementary particle known as the W boson provide a useful case study as to ...

When James Clerk Maxwell set out his famous equations 150 years ago, his model of electromagnetism included a piece of pure fiction: an invisible, all-pervasive “aether” made up of elastic vortices ...

The new model accurately captured these hydrologic behavioral changes. A key strength of the model is that it combines neural networks —AI designed to learn in a way similar to the human brain—with ...

No one has ever probed a particle more stringently than this. In a new experiment, scientists measured a magnetic property of the electron more carefully than ever before, making the most precise ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

The deviance of a tiny particle called the muon might prove that one of the most well-tested theories in physics is incomplete. By Katrina Miller Katrina Miller, a science reporter, recently earned a ...

To help address these challenges, a team of researchers developed a hydrological model that can forecast flooding impacts and manage water resources on a global scale. The approach combines artificial ...