Project Grant 2123862
- Federal Grant Award Summary Cornell University received a $333,333 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (CISE Program, CFDA 47.070) awarded October 1, 2025, with completion targeted for September 30, 2028. This collaborative research initiative develops a novel neurosymbolic programming framework, designated Foundation Model Programming, designed to generate symbolically interpretable scientific hypotheses from high-dimensional...
- 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...
- 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...
- Cornell University was awarded a four-year, $890,000 project grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research titled "Collaborative Research: RI: Medium: Robust Perception through End-User Adaptation" from October 1, 2021 through September 30, 2025. The project aims to advance the development of robust perception technologies through end-user adaptation and customization. As part...
- 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 Project 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), effective July 1, 2025 through June 30, 2028. This collaborative research initiative focuses on developing evaluation concepts and automated assessment technologies for Large Language Models (LLMs). The project will identify a...
- 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...
- Federal Grant Award Summary Cornell University received a $399,998 Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences (CFDA 47.075 – Social, Behavioral, and Economic Sciences program) awarded on September 1, 2025, through August 31, 2028. This collaborative research project delivers integrated infrastructure tools and platforms enabling large-scale behavioral experiments studying human-artificial intelligence (AI) hybrid interactions. The primary...
- Cornell University was awarded a $537,796 Project Grant from the National Science Foundation Division of Research on Learning in Formal and Informal Settings under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the development of computational tools to revitalize the U.S. textile manufacturing workforce from September 1, 2021 through August 31, 2026. As part of the grant, Cornell University will work to advance research and...
- Federal Grant Award Summary Cornell University received a $250,002 Project Grant from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective August 1, 2025, through August 31, 2027. This collaborative research project, titled "BLOG: A Bi-Level Optimization Framework for Learning Over Graphs," develops a unified bi-level optimization (BLO)-based training framework for machine learning over...
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 algorithms through integrated neuroengineering to enable parsing or analyzing realistic environments. The Engineering grant program aims to foster innovation and excellence in engineering research, and this award aligns with those goals by supporting the development of technologies inspired by brain functions. The four-year period of performance and significant funding amount suggest this project involves extensive research efforts at the Ithaca, New York location.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.0m | 8/5/21 |