Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrat — NSF Award to Auburn University (AL, $
Artificial intelligence (AI) and data science are revolutionizing the way complex systems are modeled, data is analyzed, and decisions are made across science, technology, and industry. There is a growing need to train researchers with a rigorous mathematical foundation to ensure that AI and data-driven methods are rel
| Award title | Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrat |
|---|---|
| Award ID | 2446127 |
| Awardee | Auburn University |
| City | AUBURN |
| State | AL |
| Amount obligated | $1,323,521 |
| Principal investigator | Yanzhao Cao |
| Program | OFFICE OF MULTIDISCIPLINARY AC, WORKFORCE IN THE MATHEMAT SCI, COMPUTATIONAL MATHEMATICS |
| Start date | 09/01/2025 |
| Abstract | Artificial intelligence (AI) and data science are revolutionizing the way complex systems are modeled, data is analyzed, and decisions are made across science, technology, and industry. There is a growing need to train researchers with a rigorous mathematical foundation to ensure that AI and data-driven methods are reliable, efficient, and adaptable to real-world challenges. This Research Training Group (RTG) project will train undergraduate students, graduate students, and postdoctoral research |
| Source | NSF Awards |
$799/mo
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