Скачать или смотреть AI in Science and Engineering Symposium | Integrated Systems for Computational [...](Keynote) | 2025

Full Title: Integrated Systems for Computational Scientific Discovery

Speaker: Pat Langley, Principal Research Scientist, Georgia Tech Research Institute

Abstract: There has been a steady stream of AI work on scientific discovery since the 1970s, much of it leading to published results in fields like astronomy, biology, chemistry, and physics. However, most efforts have focused on isolated tasks rather than addressing their interaction. In this talk, I challenge the research community to develop and adopt integrated discovery systems. I note distinguishing features of scientific discovery and examine five component abilities, in each case specifying the problem and reviewing results in the area. After this, I note some successes at partial integration and consider some remaining hurdles that we must leap to transform the vision for integrated discovery into reality. I also discuss promising domains, natural and synthetic, in which to test such computational artifacts. In closing, I consider ways that integrating discovery can accelerate scientific progress and factors that influence whether results are trustworthy.

For more information about the AI in Science and Engineering Symposium, please visit: https://midas.umich.edu/events/2025-a...