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DOE Seeds First-Principles Study of AI and Deep Learning, Part of $4.3 Million National Initiative

Kahn, Shelton, and Hooberman to characterize AI deep neural networks for scientific research

The U.S. Department of Energy (DOE) announced $4.3 million in funding for 16 projects that will use artificial intelligence (AI) to spur advances in high-energy physics and use tools from high-energy physics to better understand how AI works. Among these, a team of physicists at the University of Illinois Urbana-Champaign will apply tools from theoretical high-energy physics to develop a first-principles understanding of the uncertainty inherent in analyses using deep neural networks. READ MORE