A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Researchers developed personalized machine learning algorithms using smart ring biometric data to predict weekly panic attack ...

Scientists have developed an AI tool that improves weather forecasts three to four weeks ahead, offering earlier warnings of ...

A Microsoft Research-led team published a study in Nature on October 14, 2026, introducing probabilistic bias correction (PBC), a machine learning framework the authors report improves weather ...

A random forest model trained on acoustic emission signals from granite hydraulic fracturing experiments forecast specimen ...

Accurate streamflow prediction is critical for flood warning and water resources management in subtropical monsoon watersheds, yet optimal model selection remains challenging. This study compared ...

Magnetic resonance imaging (MRI) radiomics as predictor of clinical outcomes to neoadjuvant immunotherapy in patients with muscle invasive bladder cancer undergoing radical cystectomy. This is an ASCO ...

Met Office Fellow in Operational Meteorology Steve Ramsdale assesses the relationship between human expertise and AI capability for the future of forecasting.

Google is one of the major players in AI (meaning machine learning) weather forecast model space. The models it and others generate have their strengths and weaknesses, but the main advantage is that ...

Atmospheric and radar scientists at Colorado State University are developing a novel forecasting system that relies on ...

Song Zhang, a graduate student in the Department of Meteorology and Atmospheric Science at Penn State, will give the talk ...