Project Grant 2523385
Award Date 9/1/25
Completion Date 9/30/25
Dollars Obligated $0
Funding Federal Agency
Awarding Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Princeton, NJ 08544, USA
Similar Awards
- 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 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 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...
- 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...
- 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...
- This $100,000 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 novel automated reasoning system for hyperbolic geometry and create an innovative undergraduate course on AI in mathematics. The project builds on the awardee's prior work in automated theorem provers for Euclidean geometry, with the goal of extending these capabilities to the more complex domain of hyperbolic geometry....
- This Project Grant award, funded by the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049), aims to develop innovative artificial intelligence (AI) tools to enhance the study of polyhedra. The $400,000 award, with a performance period from September 15, 2024 to August 31, 2027, will support the creation of new methods for data generation, knowledge discovery, and formal reasoning in polyhedral...
- 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 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...
- This $300,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) aims to develop innovative Artificial Intelligence (AI) tools to study polyhedra, which are fundamental geometric shapes with wide-ranging applications. The key objectives of the project include: Leveraging AI techniques like diffusion methods and reinforcement learning to generate diverse, high-quality polyhedral samples Integrating large language...