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 ...

A new study in Science Advances finds that physics-based weather models outperform leading AI systems when predicting ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Scientists made headlines last week for supposedly generating a wormhole. The research, reported in Nature, involves the use of a quantum computer to simulate a wormhole in a simplified model of ...

A team of researchers at Queen's University has developed a powerful new kind of computing machine that uses light to take on complex problems such as protein folding (for drug discovery) and number ...

Abstract: The AFOSR MURI effort, titled “A Robust Multi-Physics Design Analysis and Optimization Framework for Hypersonic Systems Grounded in Rigorous Model Reduction,” unites a multi-disciplinary ...

Recent findings from research we have been carrying out at the Large Hadron Collider (LHC) at Cern in Geneva suggest that we might be closing in on signs of undiscovered physics. If confirmed, these ...

Wind fields modeled by the authors’ physics-informed neural network (PINN) produces similar results to a Weather Research & Forecasting (WRF) simulation while using far fewer resources. WASHINGTON, ...

We are developing an innovative sensor system inspired by harbor seal whiskers, aiming to revolutionize underwater detection and tracking. The team's interdisciplinary approach integrates expertise in ...