Project Grant 2308446
- This National Science Foundation project grant award of $399,957 supports research and education activities aligned with the Computer and Information Science and Engineering program. Specifically, Duke University will conduct research to develop a comprehensive statistical and computational theory of neural estimation and apply it to novel applications in communications. Key deliverables include establishing a non-asymptotic neural estimation theory accounting for multiple sources of error and...
- Cornell University was awarded a $999,997 Project Grant from the National Science Foundation Division of Computing and Communication Foundations under the Engineering federal grant program (CFDA 47.041) to support work on "Integrated Neuroengineering of Brain-Inspired Algorithms for Parsing Realistic Environments" from August 15, 2021 through July 31, 2025. This Project Grant funding will support Cornell University's Office of Sponsored Programs in developing brain-inspired...
- Federal Grant Award Summary Cornell University received a $333,333 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for collaborative research on interpretable scientific discovery with foundation model programs. The award, effective October 1, 2025, through September 30, 2028, supports the development of a novel neurosymbolic programming framework...
- Cornell University was awarded a $492,068 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research into statistical signal processing of social networks with behavioral economics constraints. The grantee will apply techniques from signal processing and behavioral economics to analyze large-scale social networks and online interactions. Insights gained from this...
- Cornell University received a three-year Project Grant award of $598,449 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 award will support research and development of specialized computer chips and software programs to accelerate artificial intelligence workloads using fine-grained unstructured sparsity and mixed precision techniques. Cornell University...
- Federal Grant Award Summary Cornell University received a $459,202 Project Grant from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), awarded on August 1, 2025, with completion targeted for April 30, 2026. This CAREER award supports fundamental research and educational initiatives focused on distributed intelligence in future wireless networks through a co-design approach that integrates machine...
- This National Science Foundation (NSF) Project Grant award for $599,999 supports research at Cornell University from June 15, 2023 to May 31, 2026. The objective is to develop a "modern theory of data compression" to explain the performance of artificial neural network-based compression algorithms and identify avenues for future improvements. The research aims to advance the field of data compression, which has important implications for enabling more realistic and immersive...
- This $2 million Project Grant from the National Science Foundation's Office of Emerging Frontiers and Multidisciplinary Activities will fund research at Cornell University from October 2022 through September 2026 under the federal Engineering program (CFDA 47.041). The grant aims to advance neuromorphic computing by developing algorithms and computational models inspired by biological neural circuits. Researchers will extract principles from neuroscience to design a neural network architecture...
- Federal Project Grant Award Summary Cornell University's Office of Sponsored Programs received a $520,000 project grant award effective January 1, 2026, through December 31, 2028, from the National Science Foundation (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This research project addresses security and privacy vulnerabilities in embeddings—the mathematical vector representations that serve as...
- Federal Grant Award Summary Cornell University received a $300,000 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) beginning July 1, 2025 and concluding June 30, 2028. This collaborative research initiative addresses critical evaluation gaps in Large Language Models (LLMs) by developing a comprehensive framework for assessing and improving LLM-generated...
Cornell University received a $200,000 Project Grant award 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 three-year award will support research to develop a comprehensive statistical and computational theory of neural estimation and apply it to novel applications in communications. Specifically, the university will conduct research targeting a non-asymptotic neural estimation theory accounting for all known sources of error in statistical modeling. It will also devise a flexible, efficiently computable methodology for neural capacity estimation and data-driven polar coding. The award aims to advance understanding of why neural estimation techniques perform well on large, complex datasets and provide formal guarantees to guide practical applications, such as in wireless communications. It includes mentorship of graduate students, engagement of undergraduates, and outreach to high school students through a summer camp. International collaboration and tutorial videos will also be part of the project deliverables supported by this federal funding.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 5/19/23 |