Training schools focused on modeling solid Earth responses to ice mass changes offer lessons on how early-career scientists ...

Rapidly-evolving smart grid technologies add complexity for electric utilities working to maintain a balanced network and ...

For decades, medium-range weather forecasting—predicting conditions 1 to 5 days ahead—has relied heavily on traditional ...

Researchers at the University of Osaka have developed a deep learning model for rapid building damage assessment after floods ...

Investors have backed startups like $300 bln OpenAI in the hope that innovators will grab users and pricing power. But the ...

A new Bayesian calibration framework enhances prediction accuracy for digital twins in semiconductor material handling systems.

Our Ocean Forecasting Research and Development (OFRD) and Ocean, Cryosphere and Climate teams lead the way in building and running computer models that simulate the ocean. These models help us ...

The study adheres to a reconstruction-based approach for anomaly detection, specifically building upon the Anomaly Transformer model. The proposed model leverages the concept of an Anomaly Transformer ...

A new weather station at Mansfield in north-east Victoria could close a critical forecasting gap, offering residents more accurate data for the first time.