Collaborative Research: Elements: A Cyberinfrastructure for Seamlessly Integrating Lossy C — NSF Award to North Carolina State Uni
Scientists are increasingly incorporating machine learning (ML) and artificial intelligence (AI) techniques into their applications to accelerate and enhance scientific research and discovery across a wide range of disciplines. For example, machine learning has been successfully integrated into tools for weather foreca
| Award title | Collaborative Research: Elements: A Cyberinfrastructure for Seamlessly Integrating Lossy C |
|---|---|
| Award ID | 2513767 |
| Awardee | North Carolina State University |
| City | RALEIGH |
| State | NC |
| Amount obligated | $300,000 |
| Principal investigator | Michela Becchi |
| Program | Software Institutes |
| Start date | 07/01/2025 |
| Abstract | Scientists are increasingly incorporating machine learning (ML) and artificial intelligence (AI) techniques into their applications to accelerate and enhance scientific research and discovery across a wide range of disciplines. For example, machine learning has been successfully integrated into tools for weather forecasting, earth sciences, astronomy, high-resolution imaging, genomics, and molecular biology. However, the ever-growing size of scientific datasets results in prohibitive hardware re |
| Source | NSF Awards |
$799/mo
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