The integration of deep learning techniques and physics-driven designs is reforming the way we address inverse problems, in which accurate physical properties are extracted from complex observations.

AI has started to emerge as one of the most effective technologies being used in cosmology lately. The power of machine ...

Consider the following scenario: a student comes to the office hour to ask questions about a physics homework problem they struggled with. The instructor smiles and says, “this problem is trivial”.

The observational track of Typhoon "Danas" (solid line) along with forecasted paths (dashed lines) depicted on the FY-4B satellite visible light imagery at 08:00 BST on July 6, 2025. The dashed lines ...

Tiny grains of dust floating inside a glowing plasma should, according to decades of theory, push and pull on each other in predictable ways. But when physicists at Emory University turned a ...

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

I'll admit it, I'm a math guy. And recently, I've tried to express the emerging power of large language models (LLMs) in many aspects of life—including education. And it got me thinking: What if ...