Stochastics for generative modeling and applications to inverse problems — NSF Award to University of California-Irvine (CA, $209,
Modern society increasingly relies on technologies that use waves to see inside complex environments that cannot be observed directly. Medical imaging, seismic exploration, remote sensing, and astronomical imaging all depend on interpreting how waves propagate through complicated materials in order to detect hidden str
| Award title | Stochastics for generative modeling and applications to inverse problems |
|---|---|
| Award ID | 2606808 |
| Awardee | University of California-Irvine |
| City | IRVINE |
| State | CA |
| Amount obligated | $209,660 |
| Principal investigator | Knut Solna |
| Program | APPLIED MATHEMATICS |
| Start date | 08/01/2026 |
| Abstract | Modern society increasingly relies on technologies that use waves to see inside complex environments that cannot be observed directly. Medical imaging, seismic exploration, remote sensing, and astronomical imaging all depend on interpreting how waves propagate through complicated materials in order to detect hidden structures or abnormalities. This project will develop new mathematical and artificial intelligence (AI) methodologies that will make such imaging technologies more accurate, reliable |
| Source | NSF Awards |
$799/mo
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