Project Grant 2134059
- 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 Trustees of Princeton University was awarded a $150,000 Project Grant from the National Science Foundation Division of Computing and Communication Foundations. The grant supports the collaborative research project "Foundations of Deep Learning: Theory, Robustness, and the Brain?" taking place from December 2021 through November 2024 in Princeton, New Jersey. The grant is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in...
- The Massachusetts Institute of Technology (MIT) received a $600,000 Project Grant award from the National Science Foundation (NSF) on December 1, 2021 to fund research titled "COLLABORATIVE RESEARCH: FOUNDATIONS OF DEEP LEARNING: THEORY, ROBUSTNESS, AND THE BRAIN?" through November 30, 2024. The award is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these scientific fields and strengthen the national scientific...
- The National Science Foundation awarded a $449,998 project grant to Carnegie Mellon University under the Mathematical and Physical Sciences program (CFDA 47.049) to support research titled "COLLABORATIVE RESEARCH: NEW PERSPECTIVES ON DEEP LEARNING: BRIDGING APPROXIMATION, STATISTICAL, AND ALGORITHMIC THEORIES" from November 1, 2021 to October 31, 2024. The grant aims to promote progress in mathematical and physical sciences by increasing scientific knowledge and understanding of...
- 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 Division of Computing and Communication Foundations awarded a $500,000 Project Grant to Princeton University from January 1, 2022 to December 31, 2024 to support collaborative research on probabilistic, geometric, and topological analysis of neural networks. This award falls under the Mathematical and Physical Sciences program (CFDA 47.049), which aims to strengthen the Nation's scientific enterprise through advancing knowledge and understanding of major problems....
- 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...
- 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...
- The Trustees of Columbia University in New York City received a $499,756 Project Grant award from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070) to support investigator-initiated research and education across computing, communications, and information science and engineering fields. Specifically, the October 1, 2021 award will fund research into "New...
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 robustness and connections to brain function. The Mathematical and Physical Sciences program aims to strengthen the nation's scientific enterprise through advancing knowledge and understanding of major problems in mathematical and physical sciences areas including computer and information science. This award will further those goals by exploring deep learning theory and applications relevant to computational neuroscience.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 9/15/21 |