This $249,999 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to transform how artificial intelligence (AI) transfers learned knowledge from simulated environments to real-world cyber-physical systems applications. The project will develop a novel neuro-symbolic framework that integrates advanced hyperdimensional mathematics, deterministic finite automata, and knowledge graphs. This approach enables efficient abstraction and communication of complex patterns across diverse domains, facilitating rapid, data-efficient knowledge transfer while maintaining interpretability. Key innovations include a data-driven mechanism to systematically extract, organize, and transfer semantic structures, enabling reliable cross-platform data transfer and seamless adaptation between simulated and real-world environments. Additionally, the framework incorporates algorithmic enhancements to facilitate dynamic data fusion and efficient pattern matching across heterogeneous datasets, further boosting its adaptability. This 3-year project, running from June 2025 to May 2028, is being led by the University of California, Irvine, a premier public research university with extensive federal contract and grant experience.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $250.0k | 5/29/25 |