Project Grant 2602773
- Federal Project Grant Award Summary The University of Arkansas, Fayetteville received a $149,960 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) on June 1, 2026, with a completion date of May 31, 2028. This collaborative research initiative will develop quantum machine intelligence approaches for modeling human brain activity using functional magnetic...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded $2.19 million to the University of Kansas Center for Research Inc. on August 15, 2025, under the Integrative Activities program (CFDA 47.083) for a collaborative research project extending through July 31, 2029. This project grant, conducted jointly by the University of Kansas and the University of Nebraska-Lincoln, focuses on developing artificial two-dimensional (2D) magnetic semiconductors through stacking and...
- Federal Project Grant Award Summary This collaborative research project, funded by the National Science Foundation's (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), represents a $471,864 investment in quantum computing workforce development. Awarded to the University of California, San Diego on August 15, 2025, with a completion date of July 31, 2029, the project delivers an integrated training platform...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded $385,250 to the University of Kansas Center for Research Inc. (effective June 1, 2026 through May 31, 2031) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop an integrated machine learning framework designed to enhance longitudinal healthcare intelligence. The project delivers three complementary research and...
- Federal Grant Award Summary The University of South Florida received a $150,000 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective August 1, 2025 through July 31, 2027. This collaborative research initiative, conducted in partnership with the New York Institute of Technology, develops cloud-based educational modules that integrate quantum computing and...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded $200,000 to the University of Massachusetts on June 15, 2025, under the Engineering program (CFDA 47.041) for a project titled "Closed-Loop Hybrid Intelligence with Optogenetic-Neuromorphic Co-Designed Cell Interfaces." The project, scheduled for completion by May 31, 2028, delivers advanced engineering tools and methods that integrate high-resolution...
- This federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to develop open-source, hands-on training materials for quantum-based machine learning (QML) in science and engineering. The $216,151 grant, awarded to Kennesaw State University Research and Service Foundation, Inc., will enable the collaborative development of nine transferable QML training modules with hands-on labs,...
- Federal Grant Award Summary The National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) awarded $500,000 to The Research Foundation For The State University of New York on September 1, 2025, for a four-year implementation project (through August 31, 2029) titled "CyberTraining: Implementation: Small: Modeling Quantum Dynamics of Excited States in Materials in the Era of Machine Learning." The project addresses a critical national...
- Federal Grant Award Summary Boise State University received a $175,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (CISE Program, CFDA 47.070) awarded on June 15, 2025, with completion scheduled for May 31, 2027. This Computer and Information Science and Engineering (CISE) research initiative focuses on improving the robustness of artificial intelligence (AI) models, particularly quantum neural networks (QNNs), which leverage quantum...
- Federal Grant Award Summary The University of Massachusetts received a $540,000 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), effective October 1, 2025 through September 30, 2028. This award funds development of a comprehensive full-stack framework for designing and optimizing control policies for distributed quantum systems. The primary deliverables...
Kansas State University received a $149,995 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) beginning June 1, 2026 and concluding May 31, 2028. This collaborative research initiative focuses on developing quantum machine intelligence frameworks for modeling human brain activity using functional magnetic resonance imaging (fMRI) data. The project will create new computational approaches to analyze large-scale, high-dimensional neural dynamics and brain-wide activity patterns, addressing current limitations in existing machine learning methodologies for neuroscience applications. The award supports interdisciplinary research bridging quantum computing, neuroscience, and artificial intelligence, with deliverables including development of a novel vision-brain understanding framework, student training and education initiatives, public workshops and webinars, open-source software, and collaborative partnerships that enhance accessibility to research at the intersection of these fields. The project outcomes are expected to advance scientific understanding of both neuroscience and quantum machine learning while contributing to the development of more efficient artificial intelligence systems with potential applications in medical diagnosis and treatment planning for neurological and psychiatric disorders.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $150.0k | 5/18/26 |