CAIG: AI-Guided Water Availability Tracking and Twin Systems for Infrastructure Resilience — NSF Award to University of Alabama Tu
The rapid expansion of artificial intelligence (AI) infrastructure across the United States presents challenges for water resource management. AI infrastructure requires a large water supply for cooling. This project will develop three new AI models for water resources. The models will identify where water resources ex
| Award title | CAIG: AI-Guided Water Availability Tracking and Twin Systems for Infrastructure Resilience |
|---|---|
| Award ID | 2530564 |
| Awardee | University of Alabama Tuscaloosa |
| City | TUSCALOOSA |
| State | AL |
| Amount obligated | $1,214,308 |
| Principal investigator | Jonathan Frame |
| Program | EDUCATIONAL LINKAGES, GEO CI - GEO Cyberinfrastrctre |
| Start date | 10/01/2025 |
| Abstract | The rapid expansion of artificial intelligence (AI) infrastructure across the United States presents challenges for water resource management. AI infrastructure requires a large water supply for cooling. This project will develop three new AI models for water resources. The models will identify where water resources exist that can reliably support the growth of AI infrastructure. First, a large-scale AI model will provide insights for water availability to choose sites. Second, digital twins wil |
| Source | NSF Awards |
$799/mo
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