Events for May 7, 2026

Join us for an intensive 3-day training workshop exploring cutting-edge topics in precision nutrition and health. Learn how to leverage large biobanks like All of Us and Nutrition for Precision Health to build analysis plans and workflows focused on human microbiome, metabolomics, and digital twins research. Open to faculty, postdocs, trainees, and researchers interested in precision nutrition, computational biology, and data science. Please note that space is limited.

Join the next AI-MI Seminar Series on 05/07 at 3:00 PM ET with Xiaoliang Qi, Professor of Physics at Stanford University. This talk explores how sparse autoencoders can be used to extract interpretable features from large language models. Drawing on ideas from holographic duality, the speaker introduces an entropy-based measure to quantify how nonlocal these features are in relation to input tokens—offering new insight into the information dynamics of LLMs. Watch live on YouTube: www.youtube.com/@AIMaterialsInstitute