AI may improve natural disaster prediction through faster data analysis, early warning systems, and machine learning support.

A new system for forecasting weather and predicting future climate uses artificial intelligence (AI) to achieve results comparable with the best existing models while using much less computer power, ...

This study was led by Professor Qi Zhong and Professor Xiuping Yao from the China Meteorological Administration Training Center, and Assistant Engineer Zhicha Zhang from the Zhejiang Meteorological ...

Accurate streamflow forecasting is critical for water resources management, flood mitigation and hydropower operations worldwide. Traditional hydrological models based on physical processes often ...

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

A Systematic Review of Adoption, Barriers and Strategic Implications and published in Administrative Sciences, reviewed 37 peer-reviewed studies from 2015 to 2025 and found that AI-driven demand ...

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 ...

Construction projects generate constant signals about cost, schedule, labor, safety and risk, but predictive analytics turns ...

This week’s Top 10 looks at the applications of machine learning in the energy sector, spotlighting those leading the way ...