Conveners
Computations in AI/Grid: Presentations
- Adrian Maldonado (MCS)
Computations in AI/Grid: Panel Discussion
- Adrian Maldonado (MCS)
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Sam Foreman (Argonne National Laboratory)2/12/25, 9:40 AM
AuroraGPT is a foundation model for science, trained on the Aurora supercomputer at the Argonne Leadership Computing Facility (ALCF). This model is designed to process and generate human-like scientific text, with the goal of supporting scientific discovery. Trained on a large corpus of scientific literature, this model has the potential to assist researchers in exploring, summarizing, and...
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Kyle Chard (University of Chicago)2/12/25, 10:00 AM
Globus is a hybrid cloud platform designed to support advanced machine learning (ML) and artificial intelligence (AI) development, deployment, and research across distributed cyberinfrastructure (CI). With Globus services, users can manage remote computation, data management, indexing, search, and automated workflows without regard for the distributed resources used, from scientific...
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Vincent Choiniere (Hydro-Quebec)2/12/25, 10:20 AM
With the rapid advancement of digitization, energy systems have experienced significant improvements through innovations. As we move toward a more dynamic and complex network, real-time analysis, AI, and decentralized systems are essential for enhancing efficiency and reliability. Addressing this issue, many studies focus on centralizing data in a cloud system to develop innovative monitoring,...
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Russell Bent (Los Alamos National Laboratory)2/12/25, 10:40 AM
Recent successes with large language models (LLMs) for natural language processing have prompted exploration into their potential for time series prediction using numerical data. Chronos is a recent framework that pre-trains LLM models for predictions on time series data from various domains. The authors show that the framework can lead to successful zero-shot predictions for unseen time...
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Mihai Anitescu (Argonne National Laboratory)2/12/25, 11:00 AM
There has been a growing interest in solving multi-period AC OPF problems, as the increasingly fluctuating electricity market requires operation planning over multiple periods. These problems, formerly deemed intractable, are now becoming technologically feasible to solve thanks to the advent of high-memory GPU hardware and accelerated NLP tools. This study evaluates the capability of the...
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