5 papers
Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting
Alireza Jafari, Judy Fox, Geoffrey C. Fox +2
Seasonal influenza infects millions of people and causes substantial morbidity and mortality in the United States each year, making accurate short-term forecasting a core public-he…
Experiments in Agentic AI for Science
Judy Fox, Geoffrey Fox
This paper details two novel frameworks for developing autonomous, agentic AI in scientific workflows. Both systems leverage a hybrid Local Body, Remote Brain architecture via Goog…
ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics
Zeyu Xia, Tyler Kim, Trevor Reed +3
High-fidelity simulations and complex inverse problems, such as detector modeling and unfolding, are computationally intensive bottlenecks across subatomic physics, yet essential f…
Leveraging Exogenous Signals for Hydrology Time Series Forecasting
Junyang He, Judy Fox, Alireza Jafari +2
Recent advances in time series research facilitate the development of foundation models. While many state-of-the-art time series foundation models have been introduced, few studies…
Combining Serverless and High-Performance Computing Paradigms to support ML Data-Intensive Applications
Mills Staylor, Arup Kumar Sarker, Gregor von Laszewski +3
Data is found everywhere, from health and human infrastructure to the surge of sensors and the proliferation of internet-connected devices. To meet this challenge, the data enginee…