Project Grant 2523805
- The National Science Foundation (NSF) awarded a $325,000 Project Grant under the CISE Crosscutting Small: SATC: SAGE program to Howard University. The grant supports the development of modular hardware accelerators that will enable secure and efficient deployment of fine-tuned foundation models in consumer devices. The project aims to address the challenges of deploying large, computationally intensive foundation models on resource-constrained platforms while protecting them from security...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $600,000 in funding to the University of Central Florida to develop software-hardware solutions that enable efficient execution of large AI foundation models, like those powering advanced AI applications, on smaller, resource-limited computer systems. The project aims to improve the efficiency, scalability, and resource utilization of...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
- This Project Grant award of $600,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the University of Georgia Research Foundation to develop novel memory hierarchy optimizations for running transformer-based artificial intelligence (AI) models on mobile devices. The key objectives of the project are to: 1) create detailed performance models for executing transformer workloads on mobile GPUs, 2)...
- This $533,000 Project Grant, awarded by the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CFDA 47.070) program, supports collaborative research by the Massachusetts Institute of Technology (MIT) to develop end-to-end formal verification techniques for hardware accelerators, specifically tensor processing units (TPUs). The key objectives are to dramatically reduce the costs of developing and iterating on...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $1,200,000 to Purdue University to develop scalable and ultra-low-power neural accelerators based on 2D ferroelectric semiconductors. The research aims to address hardware needs for future artificial intelligence (AI) platforms by utilizing the unique properties of ferroelectric semiconductors to design energy-efficient circuits and...
- This $839,990 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will enhance the capabilities of the widely used Accel-Sim simulation infrastructure to enable detailed, validated modeling of modern and future accelerator architectures. The project will modernize and expand Accel-Sim's performance and energy models to support the latest GPU architectures, broaden the diversity of accelerators and workloads...
- The National Science Foundation awarded a $500,000 Project Grant to the George Washington University under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year award will support research into the holistic design of high-performance and energy-efficient accelerators for graph neural networks from October 1, 2021 through September 30, 2024. As described under the CFDA program, funding will advance the development of computing and communications...
- This $250,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at Northeastern University to improve the security of machine learning models in multi-tenant cloud field programmable gate array (FPGA) environments. The three-year award aims to advance understanding of vulnerabilities in cloud-FPGAs shared by multiple tenants, where a malicious actor could potentially manipulate another tenant's machine learning...
- This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), aims to revolutionize artificial intelligence (AI) training through the development of a novel chip architecture called Co-FABPRO (Concurrent Forward and Backward Propagation). The $200,000 award, with a project period from October 1, 2024 to September 30, 2026, seeks to create a disruptive approach that will make AI...
This Project Grant award of $275,000.00 from the National Science Foundation's Computer and Information Science and Engineering (CISE) program aims to develop modular hardware accelerators that enable secure and efficient deployment of fine-tuned foundation models on consumer devices. The award, made on September 1, 2025, supports research by George Mason University to address challenges in local deployment of large, computationally-intensive foundation models, which power a wide range of AI applications. The project plans the design of a heterogeneous system with a GPU and a custom accelerator, to securely execute fine-tuned components of foundation models and protect against security risks like IP theft. The final phase will produce a secure, modular accelerator prototype. This work seeks to enhance the security and resilience of the U.S. AI semiconductor supply chain.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $275.0k | 7/28/25 |