Project Grant 2308445
- Cornell University received a $200,000 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research to develop a comprehensive statistical and computational theory of neural estimation and apply it to novel applications in communications. Specifically, the university will conduct research targeting a...
- This $196,176 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will support collaborative research to apply deep learning techniques to the design of new encoding and decoding methods for physical layer communication. The researchers at Princeton University aim to use deep learning tools to generate a new family of codes naturally built for finite block lengths, addressing a longstanding challenge in information theory. In parallel,...
- The National Science Foundation Division of Computing and Communication Foundations awarded Duke University a $410,000 Project Grant from October 1, 2021 to September 30, 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds collaborative research to revitalize exploratory data analysis from a machine learning perspective. The Computer and Information Science and Engineering program supports investigator-initiated research and education across...
- This $307,266 federal Project Grant award from the National Science Foundation's Mathematical and Physical Sciences Program (CFDA 47.049) supports the development of effective computational methods for training neural networks using an Exploration-Exploitation-Determination (EED) framework. The project, conducted by North Carolina State University, aims to address fundamental challenges in training neural networks, which are core components of modern AI models. The key objectives include: 1)...
- The National Science Foundation (NSF) has awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Duke University. The grant, titled "Collaborative Research: CIF: SMALL: New Frontiers of Approximate Message Passing: Distributed Processing, Stochastic Updates, and Non-Asymptotic Bounds", will fund research to develop efficient iterative algorithms capable of analyzing large, distributed datasets with performance guarantees....
- 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 National Science Foundation Project Grant award of $599,970 provides funding from May 2023 through April 2026 to support research activities at the University of Illinois under the Computer and Information Science and Engineering program (CFDA 47.070). The award will fund research to develop new algorithmic tools and techniques for interpreting error-correcting codes that have been designed using deep learning methods. The research goals include gaining a better understanding of how and why...
- This National Science Foundation (NSF) Project Grant award for $599,999 supports research at Cornell University from June 15, 2023 to May 31, 2026. The objective is to develop a "modern theory of data compression" to explain the performance of artificial neural network-based compression algorithms and identify avenues for future improvements. The research aims to advance the field of data compression, which has important implications for enabling more realistic and immersive...
- Duke University received a $169,345 Project Grant award from the National Science Foundation Division of Information and Intelligent Systems on November 1, 2021 to support research titled "EAGER: CREATING AN UNSUPERVISED INTERPRETABLE REPRESENTATION OF THE WORLD THROUGH CONCEPT DISENTANGLEMENT." The two-year project will be conducted under the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which aims to advance computing and information sciences research...
- 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 National Science Foundation project grant award of $399,957 supports research and education activities aligned with the Computer and Information Science and Engineering program. Specifically, Duke University will conduct research to develop a comprehensive statistical and computational theory of neural estimation and apply it to novel applications in communications. Key deliverables include establishing a non-asymptotic neural estimation theory accounting for multiple sources of error and devising an efficient and provably accurate methodology for neural capacity estimation and data-driven polar coding. The award period is from July 1, 2023 to June 30, 2026. This work directly supports the program's goal of advancing discovery and innovation in computing, communications, and information science through investigator-initiated research.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 5/19/23 |