Project Grant 2411299
- This award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $360,000 to the University of Illinois to develop "HPCGPT", a question-answering service that leverages generative AI and integrates data sources to enhance the user support services at academic high-performance computing (HPC) centers. In collaboration with Princeton University and Rutgers University, the project aims to improve the quality,...
- The National Science Foundation (NSF) awarded a Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to Rutgers, The State University Research Financial Services Division. The $1,199,126 award, effective August 1, 2024 through July 31, 2027, will fund the development of HPCGPT, a question-answering service to enhance user support at academic high-performance computing (HPC) centers. HPCGPT leverages generative AI and integrates...
- The National Science Foundation (NSF) awarded The Ohio State University a $360,000 Project Grant under the CISE Federal Grant Program (CFDA 47.070) to develop HPCGPT, a generative AI-based question answering service to enhance user support at academic high-performance computing (HPC) centers. Through this 3-year award, HPCGPT will leverage large language models, retrieval-augmented generation, and integration of diverse data sources to provide high-quality, timely answers to HPC users,...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal grant award to the University of Texas at Austin is for the "COLLABORATIVE RESEARCH: FRAMEWORKS: HPCGPT: ENHANCING COMPUTING CENTER USER SUPPORT WITH HPC-ENRICHED GENERATIVE AI" project. The $357,359 award, which runs from August 1, 2024 to July 31, 2027, will fund the development of an AI-powered question answering service called HPCGPT to enhance the user support capabilities at...
- The National Science Foundation (NSF) awarded a $359,615 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, San Diego (UCSD) for the "COLLABORATIVE RESEARCH: FRAMEWORKS: HPCGPT: ENHANCING COMPUTING CENTER USER SUPPORT WITH HPC-ENRICHED GENERATIVE AI" project. This 3-year effort, starting August 1, 2024, aims to develop HPCGPT, a question answering service that leverages generative AI and integrates real-time...
- This $174,995 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to understand and optimize the role of human intelligence in data integration and discovery pipelines, especially in the context of emerging large language models (LLMs) like ChatGPT. The project will investigate fundamental questions about human involvement in these data processes, uncover relevant human biases, and...
- Federal Project Grant Award Summary Princeton University received a $725,000 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for the collaborative research initiative titled "SINAPSE: Scalable Infrastructure for AI-Coupled Predictive Simulation Enhancement." The award, effective October 1, 2025 through September 30, 2028, supports the development of an...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award (CFDA 47.070) for $385,000 will enable the University of Maryland, College Park to develop artificial intelligence (AI) systems that can provide personalized, appropriate responses to users based on their individual background and needs. The project aims to first construct a diverse dataset to characterize preferred responses from different user groups, and then use this to train AI...
- 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...
- This $899,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports the acquisition of a specialized high-performance computing (HPC) cluster with state-of-the-art graphical processing units (GPUs) at Princeton University. The instrument will enable transformative research and education across diverse disciplines such as chemistry, neuroscience, and sustainable energy solutions by providing researchers...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award of $360,003 to The Trustees of Princeton University will fund the development of HPCGPT, an enhanced question-answering service for academic computing centers. The project, conducted in collaboration with Princeton University and Rutgers University, leverages generative AI and integrates data sources to improve the quality, efficiency, and timeliness of user support for high-performance computing (HPC) platforms used by tens of thousands of researchers. The award period is from August 1, 2024 to July 31, 2027. HPCGPT combines large language model fine-tuning, retrieval-augmented generation, and external data integration to provide HPC users with high-quality, timely answers, reducing the workload of support teams. This is expected to enhance the overall user support service quality, capacity, and efficiency without increasing human effort.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $360.0k | 4/2/24 |