Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

This schematic illustrates the full workflow of a new study that integrates field and literature data, correlation analysis, and predictive modeling—including machine learning and geochemical ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...