Project Grant 2540142
- The National Science Foundation (NSF), through its Computer and Information Science and Engineering program (CFDA 47.070), has awarded a $400,000 project grant to The Ohio State University to conduct research on the theoretical principles underlying the success of deep learning models. The 3-year award, effective July 1, 2023, will focus on three main thrusts: Developing a unified mathematical framework to analyze the convergence and neural collapse properties of overparameterized deep...
- The National Science Foundation (NSF) awarded a $63,000 Project Grant under the Computer and Information Science and Engineering (CISE) federal grant program to the University of California, San Diego (UC San Diego) on October 1, 2025. The goal of this 3-year research project is to build mathematical foundations for understanding how modern machine learning systems represent and process data. The research aims to develop general principles for how features emerge in machine learning models,...
- This $400,000 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop a principled and unified mathematical framework for deep learning on low-dimensional data structures. The project aims to bridge the gap between theory and practice of deep learning by designing "white-box" deep neural networks using unrolled optimization schemes to maximize information gain in...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to advance artificial intelligence (AI) by investigating the mathematical foundations and practical applications of deep learning models. The $600,000 award, with a performance period from December 2024 to November 2027, will support research focused on understanding the properties of neural networks, the function spaces and data representations that emerge...
- The National Science Foundation Division of Computing and Communication Foundations awarded a $300,000 Project Grant to Columbia University for research titled "Collaborative Research: Foundations of Deep Learning: Theory, Robustness, and the Brain" under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year award running from December 2021 through November 2024 will support research into the theoretical foundations of deep learning techniques with a focus on...
- The University of California, San Diego (UCSD) was awarded a $455,058 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The 4-year project, which started on July 1, 2024, focuses on developing techniques for a mathematical understanding of deep learning and its application to a variety of neural network models and data sets. The key objectives are to: 1) compare different networks and understand...
- The National Science Foundation Division of Computing and Communication Foundations awarded a $150,000 Project Grant to the Georgia TECH Research Corporation, doing business as the Office Of Sponsored Programs, for collaborative research titled "Foundations of Deep Learning: Theory, Robustness, and the Brain?" from December 1, 2021 through November 30, 2024. The research funded under this award will explore deep learning theory, robustness, and applications for understanding brain...
- The University of Southern California (USC) received a $302,342 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to conduct collaborative research on developing techniques for mathematically understanding deep learning models and their performance on given tasks and data. The project aims to analyze neural network behavior based on how the models convert inputs to outputs, with the goal of enabling...
- This NSF CAREER project award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $599,707 to Rutgers, The State University to develop innovative algorithms, systems, and interface designs to enable efficient and scalable training of large foundational deep learning models on supercomputers. The research aims to address key challenges in the performance, scalability, and human effort required for large-scale...
- This $1.6 million Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at the University of Pennsylvania from October 2022 through September 2026. The research focuses on developing theoretical tools to build an understanding of why deep neural networks (DNNs) work and when they can fail. Investigators will seek to identify common themes in how artificial and biological systems like the human brain learn. They will...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program award of $508,848 to the University of California, Berkeley aims to advance the theoretical understanding of deep learning algorithms and architectures. The project has three main thrusts: 1) analyzing the algorithmic regularization effects of deep learning approaches to improve accuracy, 2) theoretically comparing the performance of neural networks trained with stochastic gradient descent versus architecture-induced kernel methods, and 3) studying how deep networks can transfer representations between domains to reduce labeled data requirements. The project also includes educational components, such as developing a seminar series and workshops for secondary school teachers, as well as initiatives to improve disability accommodation in academia. This award, with a performance period from July 1, 2025 to May 31, 2027, reflects NSF's mission to support foundational research and broader societal impacts in computing and information science.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $124.5k | 8/29/25 | ||
| Not listed | $384.4k | 7/30/25 |