Project Grant 2541600
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the Regents of the University of Michigan $150,000 on September 1, 2026, under the Engineering program (CFDA 47.041) to develop mathematical foundations for reinforcement learning and generative artificial intelligence systems. The project will use stochastic analysis, stochastic control, probability theory, and optimization to establish theory and algorithms for continuous-time reinforcement...
- The National Science Foundation Division of Computing and Communication Foundations awarded the Regents of the University of Michigan $286,177 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to research the wide-scale impact of generative AI on online communities. The project will study how generative AI tools affect content creation and participation patterns in online communities, the practice and effectiveness of community governance, how...
- The National Science Foundation Division of Computing and Communication Foundations awarded the Regents of the University of Michigan $367,296 on May 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop generative artificial intelligence systems that simulate four-dimensional environments while respecting physical constraints. The research addresses a critical gap in current AI video-generation and physics-simulation models, which typically...
- This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research into the fundamental theories and algorithms for reconstructing diffusion history in cyber and human networks. The research aims to develop new deep learning-based methods for tracing the spread of information, diseases, and cyber threats, with applications in epidemiology and cybersecurity. The 3-year project is led by the Regents of...
- The National Science Foundation Division of Computing and Communication Foundations awarded $530,283 to the Regents of the University of Michigan on May 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to advance structural understanding of paths in graphs and develop efficient algorithms for foundational graph problems. The recipient will conduct research addressing three central aims: advancing graph simplification to represent complex graphs by simpler...
- The National Science Foundation Division of Information and Intelligent Systems awarded $400,000 to the Regents of the University of Michigan on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on neuro-AI foundations for long-range dependency tasks. The project develops spiking neural networks (SNNs) that efficiently handle long-range dependencies and generative tasks in edge-based AI systems by reconceptualizing SNNs...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of California Irvine $548,422 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop approximate Bayesian inference methods for diffusion posteriors. The research creates posterior sampling methods that integrate pretrained diffusion models with observed data, making generative artificial intelligence systems more reliable for...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Illinois $999,999 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop novel techniques enabling large language models to succeed at complex mathematical and coding tasks while addressing inference efficiency concerns. The project focuses on diffusion-based LLMs that achieve global token awareness by modeling joint token...
- The National Science Foundation Division of Computing and Communication Foundations awarded The University of Chicago $360,549 on June 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop artificial intelligence technologies that enable intuitive creation and modification of three-dimensional mesh models. The project establishes computational foundations for AI systems operating directly on meshes, the dominant geometric representation in...
- This $400,000 Project Grant was awarded on July 1, 2024 by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) to the Regents of the University of Michigan to conduct collaborative research on the theoretical foundations of compositional learning in large language models based on transformer architectures. The research aims to investigate three key areas: model expressivity, statistical learning theory, and optimization, with...
The National Science Foundation Division of Computing and Communication Foundations awarded $384,398 to the Regents of the University of Michigan on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for theoretical and algorithmic research on diffusion models in generative artificial intelligence. The project, titled "Towards Theoretical and Algorithmic Foundations of Diffusion Models," aims to establish mathematical and computational foundations that make diffusion-based generative AI more efficient, trustworthy, and broadly applicable. Three interconnected research thrusts address provably accelerated sampling procedures to improve computational efficiency without sacrificing sample quality; end-to-end statistical guarantees for sample generation and performance characterization; and low-complexity, theoretically grounded diffusion-based methods for inverse problems that integrate learned diffusion priors with iterative optimization algorithms. The work targets practical deployment in scientific and engineering applications, particularly where diffusion models currently demand substantial computational and data resources. The project includes educational advancement through student training, curriculum integration, and outreach in data science and AI research. Work is performed at the University of Michigan in Ann Arbor, Michigan, with a period of performance from August 1, 2026, through July 31, 2031. The award is classified as a Project Grant, a standard assistance type under NSF's research portfolio.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $384.4k | 7/21/26 |