Project Grant 2502561
- This federal Project Grant award for $333,333.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support collaborative research to uncover the mathematical, statistical, and contextual factors behind memorization in artificial intelligence (AI) models. The project aims to develop foundational theory that will elucidate the principles affecting memorization in AI, culminating in the development of more reliable, robust, and...
- This $148,654 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports collaborative research to develop statistical tools for improving the reliability of artificial intelligence (AI) systems. The research aims to establish mathematically rigorous methods for uncertainty quantification to build trustworthy AI with applications in automated decision-making, financial forecasting, and neuroscience research. The work will focus on...
- 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 $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...
- The National Science Foundation (NSF) awarded a $174,983 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program to the College of William & Mary. The grant, titled "CRII: III: DYNAMIC PROMPTING AND PRUNING FOR MEASURING AND CONTROLLING MEMORIZATION IN TEXT-ATTRIBUTED GRAPHS", will be performed from August 1, 2025 to July 31, 2027. The project aims to develop methods for measuring and controlling memorization in text-attributed...
- 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...
- 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 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...
- The National Science Foundation (NSF) awarded a $245,190 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Chicago. The grant, awarded on July 15, 2025, will fund research aimed at developing a novel Bayesian inferential framework for generative models in artificial intelligence (AI) systems. This work will establish the methodological and theoretical foundations for "Generative Bayes" techniques, enabling statistically principled...
- 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 $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 issues like privacy violations, copyright infringement, and lack of generalization. The project combines optimization theory, dynamical systems theory, and information theory to study the interplay between memorization, generalization, privacy, reproducibility, and model robustness. The research will be integrated into the University of California, Los Angeles (UCLA) curriculum and shared through workshops to engage the broader academic and professional communities. This award, effective from October 1, 2025 to September 30, 2028, will fund the collaborative research efforts led by UCLA.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $166.7k | 7/21/25 |