The National Science Foundation awarded a $266,772 Project Grant to the Regents of the University of Michigan under the Computer and Information Science and Engineering program (CFDA 47.070). The five-year award beginning September 1, 2023 will support research investigating the connections between coding theory, specifically list decoding of error-correcting codes, and pseudorandomness theory. The investigator aims to advance the theoretical understanding of fundamental notions like...
The National Science Foundation awarded a $600,000 Project Grant to Stanford University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the period of May 1, 2023 through April 30, 2026. The award will support research advancing coding theory through the lens of pseudorandomness. Two main research thrusts are investigating list recovery beyond current parameter regimes, which has applications for coding theory and pseudorandomness. The second...
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 Project Grant award, valued at $300,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE: CFDA 47.070) Federal Grant Program. The award aims to design efficient error-correcting codes capable of improving the reliability and performance of flash memory systems, communication systems, and magnetic recording systems. The proposed research will explore the use of elementary symmetric functions to develop linear and...
This $174,332 federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research on fundamental error-correcting codes. The project, led by the President and Board of Trustees of Santa Clara College, will study the limits of codes that can correct insertion and deletion errors, investigate list-decodable codes, and analyze how physical constraints impact quantum error-correcting codes. The...
This $300,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support research to develop new error-correcting codes for reliable in-memory computing in next-generation artificial intelligence (AI) systems. The project, titled "COLLABORATIVE RESEARCH: NSF-BSF: CIF: SMALL: ERROR-CORRECTING CODES FOR NEXT-GENERATION ARTIFICIAL INTELLIGENCE," will explore a new approach called...
This $242,668 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will fund research at the University of California, Riverside to explore the interplay between pseudorandomness and coding theory. The goal is to construct new error-correcting codes and deepen the understanding of pseudorandomness, with a focus on improving recent code constructions based on expander graphs. The research aims to answer...
This $105,573 National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CISE) program supports research on evaluation codes and their applications in areas such as communications, data storage, and quantum error correction. The research team at Virginia Polytechnic Institute & State University (Virginia Tech) will focus on designing evaluation codes and algorithms that utilize less information for error recovery and correction,...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, will fund research on developing topologically-informed error detection and correction coding solutions for emerging extended reality (XR) technologies. The $125,000 award to the University of Nebraska-Lincoln aims to explore using topological data analysis to detect and correct communication errors in XR applications like 3D telemedicine and video...
The National Science Foundation (NSF) awarded a $202,207 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the Toyota Technological Institute at Chicago (TTIC), a private non-profit university, to conduct research on understanding and applying different forms of "expansion phenomena" with applications in error-correcting codes, optimization problems, and geometric data embedding. The 2-year project aims to develop a unified perspective on...