Project Grant 2401245
- 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 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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program Project Grant award of $749,993 to the University of Chicago provides funding for the DIAMOND project. DIAMOND is a service designed to democratize access to cutting-edge deep learning methods by abstracting the use of high-performance computing resources. The project aims to reduce barriers for domain scientists to adopt deep learning by providing a web service-enabled programming interface...
- 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 NSF CAREER project award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $599,707 to Rutgers, The State University to develop innovative algorithms, systems, and interface designs to enable efficient and scalable training of large foundational deep learning models on supercomputers. The research aims to address key challenges in the performance, scalability, and human effort required for large-scale...
- The National Science Foundation awarded a $240,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to Rutgers, The State University in New Brunswick, NJ. The goal of this 3-year grant is to develop transformative machine-learning and data analytics technologies to enable AI-based applications on resource-constrained edge computing devices like IoT devices, AR/VR headsets, and drones. The project seeks to address the gaps between the data...
- The National Science Foundation (NSF) awarded a $824,984 Project Grant under the Computer and Information Science and Engineering (CISE) program to Rutgers, The State University for the "COLLABORATIVE RESEARCH: FRAMEWORKS: SINAPSE: SCALABLE INFRASTRUCTURE FOR AI-COUPLED PREDICTIVE SIMULATION ENHANCEMENT" project. The grant, running from October 1, 2025 to September 30, 2028, aims to develop a powerful open-source software toolkit that integrates artificial intelligence (AI) with...
- The National Science Foundation (NSF) awarded a $299,913 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Rutgers, The State University in New Brunswick, NJ. This 2-year EAGER award titled "NAIRR PILOT: IMPRESS: INTEGRATED MACHINE-LEARNING FOR PROTEIN STRUCTURES AT SCALE" aims to harness artificial intelligence (AI) and high-performance computing (HPC) to revolutionize the design and validation of tailored proteins. The project will...
- 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 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...
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 learning techniques in scientific applications. Key components include a web service-enabled programming interface, automated model training and scaling, hyperparameter tuning, and performance optimizations. The project will also contribute to educational outcomes by involving PhD students and integrating the tools into undergraduate/graduate courses and outreach programs, with a focus on engaging underserved communities. Additionally, the University of Texas at Austin received a $XXX,XXX sub-award to support the DIAMOND project's goals.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $949.5k | 10/16/23 |
GrantNumber | Description | Subgrantee | Prime Award | Dollars Obligated | Updated At |
|---|---|---|---|---|---|
3152836244FDPS | University Of Texas At Austin | Project Grant 2401245 | $99.5k | 1/20/24 |