The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

Former U.S. Census Bureau and Pew Research Center data scientist and survey expert joins public opinion research ...

Rachael Hinkle’s work with machine learning intersects political science, legal training and computational methods.

A powerful new real-world data platform could transform how scientists predict and understand Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRD), reports a new study at Columbia ...

When his beloved dog was given months to live, an Australian man harnessed the power of machine learning and mRNA technology ...

Dual-platform recognition validates Irth's AI-powered approach to damage prevention, pipeline integrity and safer ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

This Research Topic is part of a series of article collections published within Frontiers in Water including: - Emerging Themes in Socio-Hydrology: Digital, ...

Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare machine learning systems, explainability techniques may highlight factors ...

Science in the modern era is increasingly reliant on enormous datasets and automated analysis. In astronomy, the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST)—a ten-year survey ...

Sand has a memory of sorts. Press into a loose pile of dry grains and something moves, not just where your finger sits, but ...

New architecture integrates Copilot, Azure OpenAI, Claude, and Perplexity to transform Microsoft Power BI into an ...