Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

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

Modern supply chain AI solutions do just that. By ingesting massive quantities of supplier data into machine learning models, ...

Researchers at Georgia Tech say they have developed a system to help answer that question. Known as FIRA, the tool analyzes ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...