Presented By: Gallogly College of Engineering, Mewbourne College of Earth and Energy, College of Arts and Sciences, College of Atmospheric and Geographic Sciences, Price College of Business and the OU Health Sciences Center
We welcome participation from faculty, researchers, staff, students and corporate representatives.
Artificial Intelligence and Machine Learning comprise a large set of computational techniques for autonomous prediction and decision making, and for using data to automatically construct models that make these possible. In the last several years, the confluence of standardized tools and high-powered computational hardware have made the process of constructing new models, even from large data sets, possible for many science/engineering laboratories and organizations. This convergence is fundamentally changing the way that science and engineering are done in many domains.
The goal of this symposium is to bring together AI/ML scientists and practitioners, high-performance computing experts, domain scientists and engineers from the OU campuses, and corporate partners to discuss:
current and new AI/ML tools and their use in solving research and applied problems, and