This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant award, with a total funding of $549,999.00, supports the DIAMOND project aimed at democratizing access to cutting-edge deep learning methods for scientific applications. The University of Illinois, as the prime awardee, will develop a web service-enabled platform that abstracts the use of high-performance computing resources, allowing domain scientists to focus on neural network...
The U.S. National Science Foundation (NSF) awarded a $949,528 Project Grant under the Computer and Information Science and Engineering (CISE) program to Rutgers, The State University to develop a service called DIAMOND. DIAMOND aims to democratize access to cutting-edge deep learning methods for domain scientists by abstracting the use of high-performance computing resources. The project combines novel computer science research with translational efforts to reduce barriers to adopting deep...
The National Science Foundation (NSF) has awarded a $750,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Wisconsin System for the "COLLABORATIVE RESEARCH: FRAMEWORKS: DIAMOND: DEMOCRATIZING LARGE NEURAL NETWORK MODEL TRAINING FOR SCIENCE" project. This 3-year effort aims to develop the DIAMOND service, which will democratize access to cutting-edge deep learning (DL) methods by abstracting the use of high-performance...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $292,237 to the University of Illinois to develop novel technologies that empower non-computer science researchers to effectively utilize modern, highly parallel hardware for training advanced AI models for scientific discovery. The key products and services to be delivered include: 1) novel memory-efficient and hardware-friendly...
This Project Grant award, with a total funding of $549,999, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The primary objective is to develop a time-sensitive large model training platform for dynamic data analytics, enabling real-time adaptability of large-scale deep learning models across various applications such as climate modeling, traffic management, and virtual infrastructure twins. The...
The University of Chicago received a $271,577 Project Grant award from the National Science Foundation Office of Advanced Cyberinfrastructure dated October 1, 2021 through September 30, 2024. The grant is part of 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. Under this award, the University will conduct research titled...
This Project Grant award of $200,000 from the National Science Foundation's STEM Education (47.076) program aims to promote AI readiness and democratize AI technologies for a broad spectrum of advanced cyberinfrastructure users and researchers. The key products and services provided under this 4-year award, which began on September 1, 2023, include: Developing a comprehensive suite of experiential learning modules, including flexible micro-modules and immersive extended reality experiences, to...
This Project Grant award of $175,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the "UNITED LEARNING: DATA-SHAREABLE HETEROGENEOUS DISTRIBUTED LEARNING" research project at Southern Illinois University (SIU). The project aims to develop new methods for integrating low-resource computing devices, such as personal computers and IoT devices, into the training of complex deep learning models. The key...
This $131,959 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research conducted by Rutgers, The State University to develop new deep learning training methods that can efficiently scale to utilize high-performance computing (HPC) systems. The key goals are to: 1) Explore techniques like second-order information approximation, computation-communication tradeoffs, and data compression to enhance the speed...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award, totaling $299,392, aims to build a collaborative mechanism for academia, industry, and the public sector to co-design research and development (R&D) directions for data systems and artificial intelligence (AI) to address scientific and societal challenges. The project, led by the Regents of the University of Michigan, will bring together data science and...