Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Artificial intelligence and machine learning are rapidly transforming scientific research, with researchers across multiple areas of physics leading the development and application of these tools. To ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Suggested Citation: "Appendix B: Planning Committee Biographies." National Academies of Sciences, Engineering, and Medicine. 2022. Machine Learning and Artificial Intelligence to Advance Earth System ...

Now in its 70th year, the Greater New Orleans Science and Engineering Fair is gearing up for another round of STEM presentations. Over 300 middle- and high-school students will congregate at Tulane ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...