Comparing Machine Learning Models of Raindrop Formation

Study finds physics-based weather models outperform AI for predicting extreme weather events

Researchers from the University of Geneva and Karlsruhe Institute of Technology found that physics-based weather models outperform AI-based

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AI-boosted rare-event sampling framework improves extreme weather prediction accuracy

Researchers have developed an AI-boosted rare-event sampling framework that combines artificial intelligence with physical climate modelling

AI-boosted rare-event sampling framework improves extreme weather prediction accuracy

Researchers have developed an AI-boosted rare-event sampling framework that combines artificial intelligence with physical climate modelling

Machine Learning Validates Unrecognized Transient Astronomical Phenomena in Historical Observatory Images

This research paper uses machine learning to validate the existence of previously unrecognized transient astronomical phenomena in historica

PhD Thesis: Hybrid Physical–Machine Learning Models Improve High Streamflow Prediction for Flood Early Warning

This PhD thesis defense by Sergio Ricardo López Chacón focuses on enhancing short-term prediction of high streamflow by combining physically

INSPIRE study compares 14 moisture tracking methods across three extreme precipitation events

This study presents the INSPIRE initiative, a coordinated international effort to compare 14 different moisture tracking methods used to ide