Generative AI, including large language models (LLMs), generative diffusion models and etc., has emerged as a powerful family of foundation models with unprecedented data generation ability. It has shown exceptional performance in various applications, including image and language generation, audio synthesis, and solving general inverse problems. Despite their success, these models face significant challenges and limitations that hinder their practical use in many scientific disciplines. This MIDAS symposium will bring together experts and researchers from both theoretical and applied fields to discuss the latest advancements of generative AI, from theoretical study to practical application deployment. It aims to explore the application of these models in scientific domains, providing a valuable platform for exchanging ideas and fostering research collaborations in this emerging area.
Michigan Institute for Data & AI in Society (MIDAS)Generative AI: From Theory to Scientific Applications
MIDAS mini-symposium
September 6, 2024
9:00 am - 5:30 pm
Forum Hall, Palmer Commons
Sponsored by: Michigan Institute for Data & AI in Society (MIDAS)
Contact Information: Ben Surgalski, [email protected]
More Information & Registration
Generative AI, including large language models (LLMs), generative diffusion models and etc., has emerged as a powerful family of foundation models with unprecedented data generation ability. It has shown exceptional performance in various applications, including image and language generation, audio synthesis, and solving general inverse problems. Despite their success, these models face significant challenges and limitations that hinder their practical use in many scientific disciplines. This MIDAS symposium will bring together experts and researchers from both theoretical and applied fields to discuss the latest advancements of generative AI, from theoretical study to practical application deployment. It aims to explore the application of these models in scientific domains, providing a valuable platform for exchanging ideas and fostering research collaborations in this emerging area.
