Artificial intelligence and machine learning are increasingly applied in civil engineering to predict material performance and optimize mix design. This study compares three ensemble learning ...

Atrial fibrillation (AF) is the most common sustained arrhythmia and a leading cause of ischemic stroke. Existing risk scores, such as CHA₂DS₂-VASc, offer limited predictive accuracy and fail to ...

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 ...

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...

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

Companies working at the frontier of aerospace, energy and computing are constantly looking for new materials to improve performance. But in order to understand how those materials will actually ...

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

The temperature of rivers is something most people think about only if they plan to go swimming, kayaking or spend a day ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...

A first-of-its-kind study led by researchers at the Centre for Addiction and Mental Health (CAMH) has found that artificial intelligence (AI) models used to predict aggressive incidents in acute ...

As AI becomes more advanced, some leaders in football prediction have developed unique tools you can use while betting on ...

Nvidia's reported $400 million Kumo AI deal brings the first relational foundation model in-house, pushing predictive AI on ...