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 ...

From space exploration to artificial intelligence, modern scientific breakthroughs depend on moving large amounts of data quickly. At Kennesaw State University, Associate Professor of Information ...

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 ...

Biochar is widely promoted as a climate friendly soil amendment that can store carbon and improve crop growth. Yet scientists have long debated whether it always benefits soil ecosystems. A new study ...

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 ...

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

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 ...