Project Grant 2523383
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop a new artificial intelligence (AI) system that can assist mathematicians in solving the longstanding Hadamard Conjecture. The $25,000 award, with a project period from September 1, 2025 to August 31, 2028, will be conducted by the University of California, Berkeley. The research will combine the strengths of large language models...
- This federal Project Grant award, valued at $225,000.00 and provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049), aims to develop a new artificial intelligence (AI) system to work alongside mathematicians in tackling complex mathematical problems that have remained unsolved for nearly a century. The research combines the strengths of large language models and formal verification tools to create a unified framework for scalable,...
- This Project Grant award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) aims to develop a new artificial intelligence (AI) system that can work alongside mathematicians to tackle complex problems that have resisted solutions for nearly a century. The $0.00 award, effective September 1, 2025 through September 30, 2025, will focus on the Hadamard Conjecture, a longstanding open problem with applications in quantum error correction, communication systems,...
- This Project Grant award for $225,000.00, provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049), aims to develop a new artificial intelligence (AI) system that works alongside mathematicians to tackle complex mathematical problems. The project, titled "COLLABORATIVE RESEARCH: AIMING: TOWARDS THE HADAMARD CONJECTURE: A UNIFIED NEUROSYMBOLIC REASONING AND FORMAL VERIFICATION PARADIGM," will combine the strengths...
- This $611,492 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program to the University of Texas at Austin focuses on developing neurosymbolic AI techniques to enhance the accessibility and efficiency of interactive formal theorem provers. The goal is to automate the low-level aspects of theorem-proving, enabling wider use of formal verification tools for applications like safer software, more robust hardware, and...
- This federal Project Grant award of $322,400.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE, CFDA 47.070) program was provided to The Leland Stanford Junior University (Stanford University) to develop artificial intelligence (AI) systems capable of accelerating mathematical research and theorem proving. The goal is to create the first AI system able to prove graduate-level mathematical theorems and tackle unsolved problems that challenge...
- The National Science Foundation (NSF) awarded Carnegie Mellon University a $567,000 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant, which runs from September 1, 2025 to August 31, 2028, supports the "AIMING: A NEURO-SYMBOLIC APPROACH TO MECHANIZED MATHEMATICAL REASONING" project. This project aims to develop novel AI techniques that combine machine learning and symbolic AI methods to advance mathematical reasoning and the...
- The National Science Foundation awarded a $225,000 Project Grant to Texas A&M University under the Mathematical and Physical Sciences program (CFDA 47.049) for the period of November 1, 2021 through October 31, 2024. The grant funds collaborative research on new perspectives for deep learning by bridging approximation, statistical, and algorithmic theories. The Mathematical and Physical Sciences program aims to advance scientific knowledge and understanding in core areas of mathematics and...
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) will explore new ways to address complex mathematical problems by integrating advanced machine learning techniques with automated reasoning. The $418,035 grant awarded to Carnegie Mellon University will support a collaborative research effort between mathematicians and computer scientists to develop and evaluate new algorithms for solving three specific open...
- The National Science Foundation (NSF) awarded a $724,000 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the University of Texas at Austin (UT Austin). The grant, awarded on July 15, 2025, will fund the development of a new highly parallel hardware and software system for graph-based data analytics to improve the reliability and efficiency of modern artificial intelligence (AI) techniques, including large language models (LLMs) like...
The National Science Foundation awarded a $225,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Texas at Austin. The grant aims to develop a new artificial intelligence system that works alongside mathematicians to tackle longstanding open problems, with a focus on the Hadamard Conjecture. The project will combine the strengths of large language models and formal verification tools to enable scalable, trustworthy proof generation. Key components include a self-evolving reasoning pipeline, chain-of-thought and curriculum learning techniques, and integrated formal verification tools. Anticipated outcomes include new Hadamard matrix constructions, practical software for AI-assisted mathematics, and foundational advances in combining neural and symbolic reasoning. The award period runs from September 1, 2025 to August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 9/10/25 | ||
| Not listed | $225.0k | 7/31/25 |