Project Grant 2502281
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $100,000 to the University of Wisconsin System to conduct research on the mathematical foundations of advanced generative AI models. The project aims to characterize the mathematical principles that underpin the effectiveness of frontier AI models, such as large language models, and identify key mathematical quantities driving their...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides funding of $296,023 to establish the mathematical foundations of two key models used in generative artificial intelligence (AI) methodologies. The primary goals are to: Examine the generative capabilities of score-based generative models in high dimensions and understand the predictive capabilities and limitations of transformer-based foundation models for...
- This $100,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research to elucidate the fundamental mechanisms underlying flow-based generative AI models, such as diffusion models, and extend their capabilities to handle complex data types. The research aims to: (1) understand why trained flow models often generalize better than theoretically expected, using tools from geometry, ODE, manifold learning, and deep learning theory; and (2)...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) project grant award of $687,382 supports research and education focused on the foundations of the next generation of artificial intelligence (AI) for engineering design. The project, titled "CAREER: TOWARDS NEXTGEN-AI: RETHINKING DEEP GENERATIVE MODELS FOR ENGINEERING DESIGN", aims to establish deep generative models (DGMs) designed to handle challenges specific to engineering design across different scales, complexity,...
- This $500,000 Project Grant was awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to The Trustees of the University of Pennsylvania, doing business as Clinical Practices of the University of Pennsylvania, from October 1, 2025 to September 30, 2028. The project, titled "MFAI: Mathematical Foundations of Alignment in Generative Artificial Intelligence," aims to address challenges with large pretrained generative AI models, such as replicating biases,...
- The National Science Foundation (NSF) awarded a $163,000 Project Grant under the Mathematical and Physical Sciences grant program (CFDA 47.049) to The Trustees of Columbia University in the City of New York. The goal of this 3-year research project is to build mathematical foundations for understanding the behavior and limitations of modern machine learning systems, with a focus on how AI models represent and learn from data. The research aims to develop general principles for how features...
- This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award of $182,981 will fund a collaborative research project titled "EAGER: Agency and Learning through Industry-Informed GenAI Navigation - From Designing Processes to Writing Reports and Modeling Complex Systems". The project aims to help prepare chemical engineering students for the increasing use of artificial intelligence (AI), especially generative AI (GenAI), in industry. The research team...
- The National Science Foundation (NSF) awarded a $355,999 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Washington (UW) for the "COLLABORATIVE RESEARCH: SHF: MEDIUM: PANTHER: NEW HIGHLY PARALLEL HARDWARE AND SOFTWARE SYSTEM FOR GRAPH-BASED DATA ANALYTICS TO IMPROVE AI RELIABILITY AND EFFICIENCY" project. This research aims to develop a new computer system and software framework to enhance the reliability and applicability of...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $135,207 Project Grant to the University of Maryland, College Park to establish a symbolic artificial intelligence (AI) framework for discovering physically interpretable constitutive laws of soft functional composites. This 1.5-year grant, awarded on January 1, 2025, with a completion date of May 31, 2026, supports fundamental research to enable automatic discovery of constitutive laws for soft functional...
- This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) will support a collaborative research project at Montana State University (MSU) focused on how generative artificial intelligence (GenAI) is being used in the chemical engineering industry and how to better prepare engineering students for this new technological reality. The $114,894 award, running from October 1, 2025 to September 30, 2027, will involve conducting interviews and focus groups...
The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $100,000 Project Grant to the University of Washington (UW) for the "Collaborative Research: MFAI: Mathematical Frontiers of Generative AI" project. The grant, awarded on September 1, 2025, aims to uncover the mathematical principles that explain the effectiveness of advanced generative AI models, including large language models, and to overcome the limitations of current brute-force approaches. The research seeks to develop new theoretical frameworks, modeling principles, and mathematical analyses to advance the capabilities of AI models in areas such as complex reasoning, zero-shot inference, and compute-optimal accuracy tradeoffs. This project supports the U.S. government's goals of maintaining global leadership in AI and driving advancements in economic prosperity, national security, and global competitiveness through fundamental research.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $100.0k | 7/29/25 |