As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

A significant share of NDRs stem from incorrect or incomplete input data, wrong addresses, unreachable phone numbers, or ...

SportsLine's team of Vegas experts and its proven model and experts to get you ready for Wild Card Weekend NFL betting ...

We built them to be cold, calculating, and immune to the subjective flaws of the biological mind. Yet, when shown a specific ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.