Project Grant 2502258
- The National Science Foundation (NSF) awarded a $163,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to The Trustees of Columbia University in the City of New York, doing business as Columbia University. The goal of this 3-year research project, from October 1, 2025 to September 30, 2028, is to build mathematical foundations for reasoning about the behavior of modern machine learning systems. The research focuses on understanding how artificial intelligence...
- This $218,771 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will enable research at the University of California, San Diego (UCSD) to enhance the mathematical foundations of artificial intelligence (AI). The research aims to (1) elucidate how flow-based generative models, including diffusion models, produce novel outputs, and (2) extend these models to handle complex data types beyond Euclidean spaces, such...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) provides $150,000 to the University of Washington to conduct research into the mathematical foundations of advanced generative artificial intelligence (AI) models. The overarching goal is to uncover the mathematical principles underlying the remarkable performance of frontier AI models like large language models, in order to overcome current limitations and...
- This $322,400 federal Project Grant awarded by the National Science Foundation's (CFDA 47.070) Computer and Information Science and Engineering program supports the development of artificial intelligence (AI) systems capable of accelerating mathematical research and theorem-proving at scale. The goal is to create an AI system that can tackle unsolved problems and prove graduate-level mathematical theorems, which would serve the national interest by driving scientific discovery across fields like...
- This $296,023 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research to establish the mathematical foundations of two models that underpin generative artificial intelligence (AI) methodologies in scientific contexts: score-based generative models and transformer-based foundation models. The primary goals of this 5-year project are to study the role of fine data structures in mitigating the curse of...
- This $299,889 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research at the University of California, San Diego (UCSD) to develop algorithms for compressing and improving the efficiency of large neural networks used in modern artificial intelligence applications. The key products and services to be delivered include: The research project focuses on developing quantization, pruning, and low-rank...
- This $166,667 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support a collaborative research project to uncover the mathematical, statistical, and contextual mechanisms underlying memorization in artificial intelligence (AI) models. The research aims to develop foundational theory and insights that will enable the creation of more reliable, robust, and privacy-preserving AI systems, addressing critical...
- The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the University of California, San Diego (UCSD) under the Computer and Information Science and Engineering (CFDA 47.070) program. The 3-year grant, effective July 1, 2023, supports research to develop dynamic neural network architectures that can efficiently enable multimodal perception, including vision, audio, and language processing. The research aims to address...
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) will explore new ways to address complex mathematical problems by integrating advanced machine learning techniques with automated reasoning. The $418,035 grant awarded to Carnegie Mellon University will support a collaborative research effort between mathematicians and computer scientists to develop and evaluate new algorithms for solving three specific open...
- This $350,000 Project Grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program on August 1, 2025. The grant will be used by the University of California, Berkeley to develop scalable algorithms for making artificial intelligence (AI) model predictions more understandable and explainable. This research aims to advance the transparency and trustworthiness of AI systems, which is critical for their safe deployment in applications...
This $162,000 federal Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) is supporting collaborative research at the University of California, San Diego (UCSD) to build mathematical foundations for reasoning about the behavior of modern machine learning systems. The goal is to develop a mathematical theory of how features emerge in AI models in order to demystify model performance, reveal limitations, and guide the development of next-generation AI systems. The research focuses on analytically studying feature representation in architectures like multilayer perceptrons, kernel methods, and transformers for applications like multi-index modeling. The project runs from October 2025 through September 2028 and involves UCSD working with partners to advance the mathematical understanding of modern machine learning.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $162.0k | 7/21/25 |