This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the "ByteBoost 2.0" initiative at Texas A&M University. The $583,967 award will fund a community-driven training platform to empower computational researchers and educators with novel, cutting-edge cyberinfrastructure (CI) technologies, including artificial intelligence (AI) and advanced computing capabilities. The...
This $208,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the "ByteBoost 2.0" program at Carnegie Mellon University. The program aims to empower computational researchers and educators with training on novel, cutting-edge cyberinfrastructure (CI) technologies, including those leveraging artificial intelligence (AI). Key activities include a webinar series, a five-day in-person...
This National Science Foundation (NSF) award, funded through the Computer and Information Science and Engineering program (CFDA 47.070), provides $174,566 to The Research Foundation For The State University Of New York (doing business as Stony Brook University) from October 1, 2023 to September 30, 2025. The purpose of this project grant is to educate computational researchers, primarily graduate students and postdocs, in the efficient use of novel cutting-edge hardware and high-performance...
This Project Grant award, totaling $295,536, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant aims to enhance the role of campus champions, research computing facilitators at academic institutions, by equipping them to promote access to advanced artificial intelligence (AI) resources and foster collaborations. It addresses barriers in AI research by connecting under-resourced and minority-serving...
This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of an innovative training program called CITEAM. The project aims to address the gap in scientific computing skills and knowledge of advanced data management methods within the materials science research community that relies on electron microscopy. The $310,000 award, with a performance period from July 1, 2025...
This Project Grant award, valued at $134,992 and provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research by Rensselaer Polytechnic Institute (RPI) to develop energy-efficient and scalable artificial intelligence (AI) systems. The key objectives are to leverage dynamic connectivity to reduce redundancy in AI models, provide architectural support for elastic processing through heterogeneous computing,...
The National Science Foundation (NSF) awarded a $6,999,294 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Texas at Austin for the CHISHIKI.AI initiative. This 5-year project aims to build a sustainable, diverse, and integrated community of computational infrastructure (CI) professionals working at the intersection of artificial intelligence (AI) and civil/environmental engineering (CEE). The project will foster collaboration between...
This Project Grant award, totaling $150,000.00, was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) and will be executed from August 1, 2025 to July 31, 2027. The award is a collaborative effort between Oakland University and Worcester Polytechnic Institute to increase awareness and promote broader adoption of the National AI Research Resource (NAIRR) pilot. The project will organize two 12-workshop...
This Project Grant award of $220,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to empower AI researchers to more easily search, discover, and use AI-ready data sets. The University of Utah will develop data discovery services using AI techniques to automatically extract and store data citation information from research publications. These services will be integrated into the National Data Platform pilot (NSF...
This Project Grant award for $799,321, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports a collaborative research effort called "MPI4AI: Enhancing Performance and Productivity of AI Science through Next-Generation High Performance Communication Abstractions." The key products and services being delivered through this multi-university project are enhancements to the open-source Message Passing...