Browsing: Argonne

Aug. 21, 2026 — Large language models (LLMs) are rapidly becoming capable of acting as ​“AI scientists,” helping manage many stages of the research process — from experiment design and data analysis to interpreting results and drafting publications. As these systems take on larger roles in scientific discovery, ensuring their reliability and security becomes increasingly important.

Aug. 11, 2026 — What if scientists could get a taste of discovery as soon as their experiment finishes? Thanks to a new machine learning tool called DONUT, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory are transforming how experiments are run at the Advanced Photon Source (APS), a DOE Office of Science…