Project Grant 2603293
- Federal Project Grant Award Summary Cornell University received a $525,000 project grant 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), awarded on July 15, 2025, with completion anticipated by June 30, 2028. The grant funds research to develop software tools and algorithms that optimize collective communication—the information sharing process between accelerators—in...
- Federal Grant Award Summary Cornell University received a $500,000 Project Grant from the National Science Foundation (NSF) Technology, Innovation, and Partnerships program (CFDA 47.084) awarded August 1, 2025, with completion scheduled for July 31, 2027. The grant supports development of simulation tools, partnerships, and collaboration networks for an Enhanced Geothermal Systems (EGS) incubator focused on direct geothermal energy use for district heating and cooling applications in the...
- 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...
- Federal Project Grant Award Summary Cornell University received a $451,594 CAREER (Faculty Early Career Development) award from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070) effective April 15, 2026 through March 31, 2031. The project develops efficient scheduling algorithms for artificial intelligence (AI) model training and inference using the Gittins Index, a classical...
- Federal Project Grant Award Summary Cornell University's Office of Sponsored Programs received a $900,000 Project Grant award 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 September 1, 2025, through August 31, 2028. This research initiative investigates how generative artificial intelligence (AI) tools affect team dynamics and collaboration...
- 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...
- Federal Grant Award Summary Cornell University received a $100,000 Project Grant from the National Science Foundation (NSF) Division of Emerging Frontiers under the Biological Sciences program (CFDA 47.074), awarded June 15, 2025, with completion targeted for November 30, 2026. This collaborative research initiative, titled "ACED: Planet-Scale AI for Accelerating Environmental Science—Invasive Species and Beyond," delivers an artificial intelligence (AI) framework designed to address...
- 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...
- Federal Grant Award Summary Cornell University received a $479,482 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), effective October 1, 2025, through September 30, 2028. The award supports research and development of an ultra-low-power cryogenic complementary metal-oxide-semiconductor (CryoCMOS) integrated circuit architecture designed to control superconducting qubits with high-frequency...
- Federal Grant Award Summary Cornell University received a $594,753 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070), awarded September 1, 2025, with completion targeted for August 31, 2028. The research project develops novel methods to control generative artificial intelligence (AI) systems—such as chatbots and image creation tools—enabling precise user control over outputs while maintaining creative...
Cornell University's Office of Sponsored Programs received a $583,747 Project Grant from the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) on July 15, 2026, with a completion date of June 30, 2029. The award funds research investigating resource colocation as an alternative paradigm for integrating large electricity loads—specifically gigawatt-scale artificial intelligence (AI) data centers and electrified manufacturing facilities—into the power grid. The research develops scientific foundations, engineering methods, and economic frameworks to understand the capabilities, limitations, and policy implications of pairing large loads with distributed generation and storage resources. Key deliverables include optimal energy management systems for resource-colocated AI data centers and hydrogen manufacturing plants; techno-economic analyses and empirical studies assessing short- and long-run economic viability; assessments of grid reliability and electricity cost impacts; and characterization of incentive policy roles in large-load integration. The project also contributes to curriculum development by incorporating engineering, economics, and policy aspects of serving large AI data centers and manufacturing loads into a cross-listed undergraduate/graduate course at Cornell's Ithaca, New York campus, thereby attracting multidisciplinary student participation in power and energy systems research aligned with national strategic priorities in AI and advanced manufacturing.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $583.7k | 7/10/26 |