EAGER: XAISE: Explainable Artificial Intelligence for Science and Engineering — NSF Award to Northwestern University (IL, $300,000
The increasing availability of data from the first three paradigms of science (experiments, theory, and simulations), along with advances in artificial intelligence and machine learning (AI/ML) has offered unprecedented opportunities for accelerating scientific discoveries using data-driven science. In particular Deep
| Award title | EAGER: XAISE: Explainable Artificial Intelligence for Science and Engineering |
|---|---|
| Award ID | 2331329 |
| Awardee | Northwestern University |
| City | EVANSTON |
| State | IL |
| Amount obligated | $300,000 |
| Principal investigator | Alok Choudhary |
| Program | AI Research Institutes |
| Start date | 10/01/2023 |
| Abstract | The increasing availability of data from the first three paradigms of science (experiments, theory, and simulations), along with advances in artificial intelligence and machine learning (AI/ML) has offered unprecedented opportunities for accelerating scientific discoveries using data-driven science. In particular Deep Learning (DL) has emerged as a transformative technology for deriving insights from massive datasets in many scientific domains such as material science, life-science, drug design |
| Source | NSF Awards |
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