Project Grant 2214708
Award Date 8/1/22
Completion Date 7/31/25
Dollars Obligated $999K
Funding Federal Agency
Awarding Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Provo, UT 84602, USA
Similar Awards
- Brigham Young University received a $278,914 project grant award from the National Science Foundation on September 1, 2021, with a completion date of February 28, 2023. The award falls under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Specifically, the funding will support the university's "EAGER: Harnessing Accurate Bias...
- Federal Grant Award Summary Brigham Young University received a $548,499 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 15, 2025, with a completion date of May 31, 2030. This CAREER award supports the development of bio-inspired artificial intelligence (AI) language models that leverage neuroscience findings to create more human-responsive and adaptive systems. The research team will...
- This three-year $800,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to advance understanding of large language models through mathematical and conceptual analysis. The Trustees of Princeton University will receive funding to develop simplified generative text models, analyze how language models are trained on such generated texts, examine why learned models can perform downstream tasks, and design new adaptation methods with...
- The National Science Foundation awarded a $400,000 Project Grant to Stanford University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research and education activities to develop conceptual and mathematical understanding of large language models. Specifically, the university will conduct research analyzing simplified generative text models and language models trained on such data to gain insights into their inner...
- This $399,262 National Science Foundation project grant will support the acquisition, deployment, and maintenance of a 16-node high-performance computing cluster at Langston University in Langston, Oklahoma. The new computing cluster, consisting of 768 central processing unit cores and 8 graphics processing unit accelerators, will enhance research and education activities across various science, technology, engineering, and mathematics disciplines at the university. Specifically, the cluster...
- This $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop a holistic benchmarking infrastructure for evaluating large language models used in software engineering. The key activities include: Conducting surveys and interviews with the software engineering and machine learning research communities to gather requirements and understand barriers in evaluating large language models for code....
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $799,999 to the University of Washington provides funding for a 4-year collaborative research project focused on developing tools and methods to leverage large language models (LLMs) in support of divergent, convergent, and cooperative work. The key objectives of the project are to: 1) Develop design guidance and workflows for building more reliable and...
- The National Science Foundation has awarded a $299,990 Project Grant to Columbia University to develop a prototype system using large language models to assist in the review process for releasing government records. The project aims to determine the additional data and training required to achieve acceptable levels of accuracy in using large language models to identify information that is already in the public domain, in order to streamline the document review process. The iterative system...
- The University of Utah received a $186,955 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations on August 1, 2021 to support research through July 31, 2022. The grant funds the "COLLABORATIVE RESEARCH: PPOSS: PLANNING: MODEL-DRIVEN COMPILER OPTIMIZATION AND ALGORITHM-ARCHITECTURE CO-DESIGN FOR SCALABLE MACHINE LEARNING" project under the Computer and Information Science and Engineering program (CFDA 47.070). This program...
- This Project Grant from the National Science Foundation will provide $450,000 to Temple University to acquire a multi-purpose high-performance computing infrastructure for machine learning and computational research. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the award will support the purchase of storage devices, processors optimized for machine learning applications, and high-performance computing units tuned for large-scale calculations....