- Research Funding
The United States Department of Energy awards $2.2 million to the FAIR Framework for Physics-Inspired Artificial Intelligence in High Energy Physics project, spearheaded by the National Center for Supercomputing Applications’ Center for Artificial Intelligence Innovation (CAII) and the University of Illinois at Urbana-Champaign. The primary focus of this project is to advance our understanding of the relationship between data and artificial intelligence (AI) models by exploring relationships among them through the development of FAIR (Findable, Accessible, Interoperable, and Reusable) frameworks. Using High Energy Physics (HEP) as the science driver, this project will develop a FAIR framework to advance our understanding of AI, provide new insights to apply AI techniques, and provide an environment where novel approaches to AI can be explored.
This project is an interdisciplinary, multi-department, and multi-institutional effort led by Eliu Huerta, principal investigator, director of the CAII, senior research scientist at NCSA, and faculty in Physics, Astronomy, Computational Science and Engineering and the Illinois Center for Advanced Studies of the Universe at UIUC. Alongside Huerta are co-PIs from Illinois: Zhizhen Zhao, assistant professor of Electrical & Computer Engineering and Coordinated Science Laboratory; Mark Neubauer, professor of physics, member of Illinois Center for Advanced Studies of the Universe, and faculty affiliate in ECE, NCSA, and the CAII; Volodymyr Kindratenko, co-director of the CAII, senior research scientist at NCSA, and faculty at ECE and Computer Science; Daniel S. Katz, assistant director of Scientific Software and Applications at NCSA, faculty in ECE, CS, and School of Information Sciences. In addition, the team is joined by co-PIs Roger Rusack, professor of physics at the University of Minnesota; Philip Harris, assistant professor of physics at MIT; and Javier Duarte, assistant professor in physics at UC San Diego.