Machine learning plays a crucial role in enhancing climate services. AI algorithms improve regional simulations and forecasts, offering better support for water resource planning and management.

Machine learning algorithms, especially decision-tree-based methods like random forest and LightGBM, significantly improved both prediction accuracy and computational efficiency.

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such ...

AI-based models are indeed more compact. Once trained, typically on 40 years of historical weather data from ECMWF, a machine-learning model like Google’s GraphCast can run on less than 5,500 ...

High-throughput robotic collection, imaging, and machine learning analysis of salt patterns: composition and concentration from dried droplet photos. Digital Discovery , 2025; DOI: 10.1039/D4DD00333K ...

Rapid decompression key to making low-density liquid water. Feb 13, 2018. ... Integrating statistical physics with machine learning enhances predictions of liquid-gas phase transitions.