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 ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

Abstract: The creation and inference of mathematical models is central to modern scientific discovery. As more realism is demanded of models, however, the conventional framework of science-guided ...

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

Introduction to Machine Learning: Supervised Learning offers a clear, practical introduction to how machines learn from labeled data to make predictions and decisions. You’ll build a strong foundation ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at ...

Three faculty members from Johns Hopkins University have been named 2026 Sloan Research Fellows by the Alfred P. Sloan ...

Professor Vukosi Marivate, Director of the African Institute for Data Science and Artificial Intelligence (AfriDSAI) based at the University of Pretoria (UP) and ABSA-UP Chair of Data Science at the ...