Project Grant 2551282
- The National Science Foundation Division of Computer and Network Systems awarded Georgia TECH Research Corp $360,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a control-theoretic framework for reliable and robust deep neural networks with application to space cyber-physical systems. The project formulates deep neural network training as a feedback control design problem, leveraging optimal and robust control theory...
- The National Science Foundation Division of Computer and Network Systems awarded the University of New Mexico $320,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a control-theoretic framework for reliable and robust deep neural networks with application to space cyber-physical systems. The project formulates deep neural network training as a distributional control problem, leveraging optimal and robust control theory techniques...
- The National Science Foundation (NSF) awarded a $225,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to The Leland Stanford Junior University. The 3-year grant, effective July 1, 2024, aims to gain a deeper theoretical understanding of the statistical properties of neural networks, which have revolutionized science and engineering. Key research directions include studying the distinguishing features of deep neural networks compared to classical statistical...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Leland Stanford Junior University $414,320 on June 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop software tools and mathematical foundations enabling artificial intelligence algorithms to tolerate hardware errors inherent in emerging memory and transistor technologies designed for low-power AI workloads. The project establishes exchangeability—a...
- This three-year, $500,000 project grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), will support research to advance neural network verification techniques. The grantee, Stanford University, will partner with the Hebrew University of Jerusalem to pursue three goals: developing more scalable verification methods using abstraction and compositional reasoning;...
- This three-year Project Grant from the National Science Foundation's Division of Computing and Communication Foundations will fund the development of analysis and design techniques to provide formally guaranteed error bounds for deep neural networks used in autonomous cyber-physical systems. Totaling $999,996, the award will support research from June 2022 to May 2025. Specifically, the University of California, Los Angeles will investigate two approaches - "correctness-by-training"...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Leland Stanford Junior University $352,406 on May 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop next-generation network scanning tools and methodologies for identifying Internet devices, detecting vulnerabilities and misconfigurations, and locating device owners for advance notification before attacks. The project introduces new techniques in three...
- The Leland Stanford Junior University received a three-year $231,036 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support research exploring hardware-aware matrix computations for deep learning applications. Specifically, the university will study how to use structured matrices in concert with modern hardware constraints to...
- Federal Grant Award Summary The National Science Foundation (NSF), through its Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded $425,875 to The Leland Stanford Junior University on August 1, 2025, for a five-year CAREER grant extending through July 31, 2030. This project delivers novel computational and statistical methods for analyzing neural and behavioral data through the development of state space models (SSMs). The research addresses a critical...
- The National Science Foundation (NSF) Division of Computer and Network Systems awarded a $174,178 project grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the President and Board of Trustees of Santa Clara College. The project aims to develop methods and a system for deploying complex machine learning (ML) models on network processing units (NPUs) to enable ultra low-latency performance for modern applications such as self-driving, security threat...
The National Science Foundation Division of Computer and Network Systems awarded The Leland Stanford Junior University $320,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a control-theoretic framework for certifying deep neural networks deployed on spacecraft. The project addresses the challenge of certifying learning-enabled components operating continuously aboard spacecraft by formulating deep neural network training as a feedback control design problem. The work leverages optimal and robust control theory techniques to address uncertainty and noise in neural networks while reasoning about stability, expressiveness, and robustness. The research aims to support trusted space autonomy for future space missions in close collaboration with the Space Vehicles Directorate of the Air Force Research Lab. The award funds graduate and undergraduate student training, journal and conference publications, workshops and seminar presentations, and public engagement through press releases and media outreach. Performance occurs at Stanford's Palo Alto, California campus from August 15, 2026, through July 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $320.0k | 8/11/26 |