Two recent studies published in Nature and Science Advances explored quantum approaches that could improve the precision of ...

An extremely cold gas of strontium atoms is trapped in a web of light known as an optical lattice. The atoms are held in an ultrahigh-vacuum environment, which means there is almost no air or other ...

LAKELAND, Fla., Sept. 15, 2025 /PRNewswire/ -- A breakthrough in nuclear physics at Florida Polytechnic University has created an advanced machine learning model that predicts nuclear binding energies ...

The rise of machine learning and accurate, physics-based modeling have facilitated breakthroughs in preclinical drug discovery, accelerating discovery of compounds with improved chemical properties at ...

A research team from the Shanghai Institute of Applied Physics, Chinese Academy of Sciences, and collaborating institutions has successfully employed Bayesian neural networks (BNNs) to fit ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Satellite scatterometers play a crucial role in monitoring ocean surface winds, with their accuracy directly impacting weather forecasting and climate research. However, rainfall has consistently ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer solutions that are not physically sound. Take, for example, AlphaFold, the AI ...

An AI weather program running for a single second on a desktop can match the accuracy of traditional forecasts that take hours or days on powerful supercomputers, claim its creators. Weather ...