This National Science Foundation (NSF) Project Grant award, titled "CAREER: FORMAL GUARANTEES FOR NEUROSYMBOLIC PROGRAMS VIA CONFORMAL PREDICTION," is funded under the NSF's Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The $349,828 award, which runs from July 1, 2024 to June 30, 2029, supports research to develop novel techniques for reasoning about the trustworthiness of neurosymbolic programs, which combine deep neural networks and traditional software components. The project aims to leverage conformal prediction, a method for quantifying the uncertainty of machine learning models, to improve the reliability of modern AI systems in safety-critical applications like healthcare, education, and robotics. The research will explore techniques such as conformal Hoare logic, conformal program conversion, and conformal program synthesis to provide formal correctness guarantees for neurosymbolic programs. This award reflects the NSF's mission to advance scientific knowledge and technological innovation in computing and information science.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $236.1k | 8/19/24 | ||
| Not listed | $113.7k | 2/23/24 |