# Feedback, Learning, and Robustness in Recurrent Neural Networks: Implications for Human and Artificial Intelligence

**Budget Signal Score:** 40/100

| Field | Value |
|---|---|
| Institution | University of Connecticut |
| Location | STORRS, CT |
| Project | Feedback, Learning, and Robustness in Recurrent Neural Networks: Implications for Human and Artificial Intelligence |
| Award amount | $723,850 |
| Obligated so far | $723,850 |
| Awarded | 2026-07-13 |
| Period | 2026-09-01 to 2029-08-31 |
| Program | Cross-Directorate  Activities |
| Directorate / division | SBE / BCS |
| Award ID | 2615342 |

## Why this score
- Award of $300K or more.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2615342). Last refreshed: 2026-11-03T18:10:42.804Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.