New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

New data-driven map uses live weather, water temperature modeling, and machine learning to help prevent fish loss ...

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...

In Virgil’s epic, Aeneas wanders after the fall of Troy, searching for a new homeland. In Kotliarevskyi’s satirical ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

Report from wireless connectivity trade body outlines frameworks and priorities needed to scale intelligent Wi-Fi through artificial intelligence and machine learning without industry fragmentation.

Some school district IT teams have been experimenting with using generative AI tools for cybersecurity, for example to ...

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.