Project Grant 2629651
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Mathematical Sciences awarded $255,237 to the University of Minnesota under the Mathematical and Physical Sciences (CFDA 47.049) program for a collaborative research project running from September 1, 2025, through August 31, 2028. This project focuses on developing acceleration and preconditioning methods to optimize deep learning (artificial intelligence) model training processes. The research leverages numerical...
- Federal Grant Award Summary The Regents of the University of Minnesota received a $220,000 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) effective August 1, 2025, through July 31, 2027. This collaborative research initiative will develop generative artificial intelligence (AI) methodologies and computational tools designed to accelerate drug discovery and...
- Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070: Computer and Information Science and Engineering) awarded $393,606 to the University of Minnesota, Office of Sponsored Projects Administration, effective July 1, 2026, through June 30, 2031. This CAREER award funds the development of novel artificial intelligence (AI) methods for adaptive experimental design to accelerate scientific discovery and engineering design. The project...
- Federal Project Grant Award Summary The University of Minnesota received a $300,000 Project Grant award from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041) on October 15, 2025, with a completion date of September 30, 2028. This collaborative research initiative will develop diffractive optical neural networks (DONNs)—specialized, ultrathin computing systems composed of engineered nanostructures that...
- Federal Project Grant Summary The National Science Foundation (NSF) awarded $175,000 to the University of Minnesota's Office of Sponsored Projects Administration under the Mathematical and Physical Sciences program (CFDA 47.049) on August 15, 2025, with a completion date of July 31, 2028. This project develops a unified generative prediction and inference framework utilizing diffusion processes, normalizing flows, and transfer learning to create high-quality synthetic multimodal data. The...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded $400,118 to the Regents of the University of Minnesota on June 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop adaptive augmented reality (AR) interfaces that improve human-AI collaboration in physical work environments. The project, titled "Situated Visual Augmentation for Human-AI Complementarity in Physical...
- Federal Project Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded $296,023 to the Regents of the University of Minnesota under the Mathematical and Physical Sciences program (CFDA 47.049) effective August 1, 2025, through July 31, 2030. This CAREER award supports fundamental research establishing the mathematical foundations of two critical generative artificial intelligence (AI) models: score-based generative models and transformer-based...
- Federal Project Grant Award Summary New York 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 program (CFDA 47.070), awarded October 1, 2025, with a completion date of July 31, 2028. This collaborative research initiative addresses critical evaluation gaps in Large Language Models (LLMs) by developing a comprehensive set of "evaluation...
- Federal Project Grant Award Summary The National Science Foundation's Office of Advanced Cyberinfrastructure awarded $2.14M to the University of Minnesota under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop citizen science cyberinfrastructure (CSCI) that leverages artificial intelligence and human collaboration to efficiently process large-scale, complex datasets. The project, which commenced October 1, 2025 and extends through September 30, 2029,...
- Federal Project Grant Award Summary The University of Michigan, Office of Research and Sponsored Projects, received a $150,000 Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), awarded on August 15, 2025, with completion targeted by July 31, 2028. The award supports fundamental research on robust data-driven decision-making systems that integrate human-AI alignment with algorithmic...
The University of Minnesota's Office of Sponsored Projects Administration received a $270,000 Project Grant award effective September 1, 2026, through August 31, 2028, from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070). This EAGER (Early-concept Grants for Exploratory Research) award supports fundamental research investigating whether scaling larger artificial intelligence (AI) models with increased data and computational power is sufficient to achieve scientific discovery capabilities, or whether fundamentally new approaches are required. The project examines which abilities required for scientific discovery emerge naturally through scaling and which require additional architectural innovations. The research initiative will address three core objectives: (1) identifying which scientific reasoning capabilities emerge through model scaling versus those requiring supplementary approaches; (2) investigating what additional components—including scientific knowledge integration, structured reasoning, uncertainty quantification, and iterative hypothesis generation and testing—are necessary to enable advanced AI systems for scientific research; and (3) developing an evaluation framework for assessing scientific reasoning and generalization capabilities beyond previously observed scenarios. The project outcomes will strengthen U.S. leadership in AI and scientific innovation, enhance reliability of AI systems for high-consequence applications, and provide interdisciplinary research training for students at the intersection of AI and the sciences.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $270.0k | 7/5/26 |