Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

A powerful new software tool that can accurately predict the performance of biofilters used by the water industry could ...

Unmanned Swarm Systems (USS) have transformed key fields like disaster rescue, transportation, and military operations via ...

AI-powered seizure detection offers up to 44.8% improved performance for predicting seizures compared to baseline methods.

New research establishes that the metric used to measure link prediction performance is missing crucial information, and link prediction tasks are performing significantly worse than popular ...

On Tuesday, the peer-reviewed journal Science published a study that shows how an AI meteorology model from Google DeepMind called GraphCast has significantly outperformed conventional weather ...

Artificial intelligence (AI) models, particularly artificial neural networks and machine learning, outperform traditional methods in predicting post–complete cytoreduction outcomes in patients with ...

During the preliminary design phase of flapping-wing micro air vehicles (FWMAVs), there currently exists a deficiency in ...

An innovative machine learning approach has been shown to rapidly predict multiple protein configurations. A new paper presents the method that predicts the relative populations of protein ...

Embed <iframe src="https://www.npr.org/player/embed/3872604/3872605" width="100%" height="290" frameborder="0" scrolling="no" title="NPR embedded audio player"> From ...