2 papers
cs.LG2024
Global atmospheric data assimilation with multi-modal masked autoencoders
Thomas J. Vandal, Kate Duffy, Daniel McDuff +2
Global data assimilation enables weather forecasting at all scales and provides valuable data for studying the Earth system. However, the computational demands of physics-based alg…
cs.CY2024
The Potential and Perils of Generative Artificial Intelligence for Quality Improvement and Patient Safety
Laleh Jalilian, Daniel McDuff, Achuta Kadambi
Generative artificial intelligence (GenAI) has the potential to improve healthcare through automation that enhances the quality and safety of patient care. Powered by foundation mo…