This $220,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of Utah. The goal of this project is to empower artificial intelligence (AI) researchers to more easily search, discover, and use AI-ready data sets, potentially streamlining and democratizing AI research. The project will investigate and develop data discovery services using innovative AI-based...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $896,755 to support the National Artificial Intelligence Research Resource (NAIRR) pilot project. The project aims to leverage lessons learned from the successful COVID-19 HPC Consortium to enhance the processes and frameworks for the NAIRR pilot and the eventual full NAIRR program. Key objectives include developing efficient resource...
This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a collaborative research effort between Oakland University and Worcester Polytechnic Institute. The project aims to increase awareness and promote broader adoption of the National AI Research Resource (NAIRR) pilot. It will organize two 12-workshop series over two years, providing hands-on training for emerging researchers to...
This $100,000 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the planning and development of a large-scale research proposal to study the risks and benefits of generative AI-based systems for security and privacy. The goal is to identify key stakeholders, form an external advisory board, and develop the scientific questions, partnerships, and social impact considerations to create a...
This EAGER: NAIRR PILOT award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $299,968 to the University of California, San Diego (UCSD) to support researchers participating in the NVIDIA AI Research Resource (NAIRR) pilot project. The project aims to enable large-scale AI and scientific research by providing customized, single-tenant NVIDIA DGX cloud computing clusters to NAIRR pilot projects. The funding will...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a learner-centered artificial intelligence (AI) co-pilot tool to crowd-source the curation of comprehensive cybersecurity attack artifacts. The $299,999 award to the Rochester Institute of Technology (RIT) aims to leverage large language models and techniques like prompt engineering to guide users in emulating end-to-end...
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 $300,000 Project Grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) on April 15, 2025. The grant will fund a collaborative effort led by Northern Kentucky University, in partnership with the Computing Research Association, Texas State University, and Kennesaw State University, to engage faculty at research-emerging institutions with large computing programs. The primary goals of the project...
This $200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop an AI-guided framework for managing advanced cyberinfrastructure (CI) resources. The project, titled "AIMCI: AI-Guided Resource Management for Advanced Cyberinfrastructure," will design and evaluate new AI models for predicting resource usage patterns, apply reinforcement learning to optimize resource management,...
The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...