How can AI, Natural Language Processing, machine learning, and computational approaches advance research and education in the humanities and interpretive social sciences? how can humanistic methodologies inform and challenge applications […]

This seminar will present findings from a large-scale evaluation of the American Heart Association's PREVENT model for predicting 10-year atherosclerotic cardiovascular disease (ASCVD) risk. Using electronic health records from over […]

The informal discussion will take place from 11:15 am - 11:45 am in Gross Hall 103, followed by the colloquium talk at noon in French Sciences 2231 Q&A on research, […]

AI for Mathematics (AI4Math) is intellectually intriguing and crucial for AI-driven system design and verification. Much of the recent progress in this field has paralleled advances in natural language processing, […]

Tea/social begins at 1 pm followed by a talk and Q&A at 2 pm in Gross Hall 304B. Richard Allen will provide practical insights on math-bio-pharma pathways, discuss skills, roles […]

Abstract: Synthetic data generation has become an increasingly powerful tool for overcoming the limitations of collecting and curating large real-world datasets for model training. Yet, fundamental questions remain about how […]

Modern edge devices, such as cameras, drones, and Internet-of-Things nodes, rely on deep learning to enable a wide range of intelligent applications. However, this deep learning inference is usually disaggregated: […]