Project Grant 2504555
- The National Science Foundation (NSF) awarded a $249,999 Project Grant under the CFDA 47.041 Engineering program to the University of California, Irvine (UCI) to transform the way artificial intelligence (AI) transfers learned knowledge from simulated environments to real-world applications. The project aims to develop a novel neuro-symbolic framework that integrates advanced hyperdimensional computing and symbolic reasoning to enable transparent and efficient interpretation of complex data,...
- This Project Grant award of $150,000 from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program supports research on "Algorithm-Informed Neural Networks (AINNs)". The key objectives are to develop neural network architectures that integrate well-established algorithmic principles to enhance the explainability, reliability, and efficiency of AI systems. By embedding logical steps into AI models, this approach aims...
- The University of Illinois was awarded a $292,237 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program on February 1, 2025. The award will fund a 5-year project to develop novel techniques and frameworks that enable non-computer science researchers to effectively leverage the computing power of modern hardware with massive parallelism for training advanced AI models for scientific discovery. Key objectives include creating...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program aims to develop scalable algorithms and methods for improving the explainability and robustness of Artificial Intelligence (AI) models. The $350,000 grant awarded to the University of California, Berkeley will leverage spectral analysis and coding theory techniques to identify key input features and interactions that drive AI model predictions. This...
- This $545,359 Project Grant was awarded on August 1, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The grant supports the development of a new generation of generative artificial intelligence (AI) models designed to learn causal models and enable robust causal reasoning and meaningful abstraction. The research aims to deliver interpretable, verifiable, and robust generative AI systems that...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant to Carnegie Mellon University under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The 3-year project, running from June 1, 2025 to May 31, 2028, aims to investigate the computational mechanisms underlying a recently discovered neural process in the brain - the ability of neurons in the early visual cortex to rapidly form local recurrent circuits. The project seeks to...
- This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $600,000 to The Pennsylvania State University from October 1, 2022 to September 30, 2025. The university will develop interpretable machine learning methods based on deep neural networks from a source coding perspective. Researchers will draw an analogy between explaining complex prediction models and transmitting signals with limited channel capacity. The...
- This $474,838 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The grant, awarded to the University of Illinois, supports research addressing the triple challenges of accuracy, robust generalization, and interpretability in machine learning (ML) models. The key technical aims of the project include: (1) developing a unified framework for analyzing and optimizing the trade-offs...
- The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $596,797 to the University of California, San Diego (UCSD) from September 1, 2024 to August 31, 2027. The project aims to develop automated frameworks for interpreting neural networks and designing robust, human-understandable neural network models. Key objectives include: (1) automating interpretations that describe the internal functioning of deep...
The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program has awarded a $500,000 project grant to the University of Illinois to develop an interpretable neuro-symbolic AI model called "Neural Probabilistic Circuits." This 3-year research project, running from September 1, 2025 to August 31, 2028, aims to build a theoretical foundation for this model that integrates neural networks for pattern recognition and probabilistic circuits for reasoning. The goal is to create a more transparent and interpretable AI system compared to traditional black-box deep neural networks, with a focus on robustness to distribution shifts and adversarial attacks. The research outcomes will be integrated into both undergraduate and graduate AI and machine learning courses at the university to enhance technical course materials for students.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 7/26/25 |