Project Grant 2449989
- This $280,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research to design and optimize tiny vector symbolic architectures (TinyVSA) for efficient on-device artificial intelligence (AI) inference on low-power edge devices such as wearables and IoT devices. The key objectives of this 3-year project conducted by the Regents of the University of California at Riverside are to:...
- This National Science Foundation Project Grant of $299,181 supports research and education efforts toward opportunistic, fast, and robust in-cache artificial intelligence acceleration at the edge for Internet of Things devices. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award to New Jersey Institute of Technology from January 1, 2023 to December 31, 2025 aims to design and deploy new hardware-oriented AI algorithms for efficient image...
- This $381,264 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research at the University of Florida to develop hardware-efficient artificial intelligence techniques for federated learning across diverse Internet of Things devices. Over a three-year period ending September 2025, the research team will work to enable quantization and pruning of neural networks in a way that accounts for the varied computational...
- This National Science Foundation (NSF) Project Grant award, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $159,979 to the New York Institute of Technology (NYIT) from September 1, 2023 to August 31, 2026. The grant supports the development of transformative machine learning and data analytics technologies to enable efficient and robust artificial intelligence (AI)-based applications on resource-constrained edge computing devices such as IoT sensors,...
- This $800,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to pioneer a computing system for massive AI workloads. The project will develop new architectural and design automation tools for a reconfigurable-on-package system using "tiny chiplets" - miniaturized composable computing components. This innovative approach seeks to address the challenges related to chiplet definition,...
- This National Science Foundation (NSF) Project Grant awarded to Virginia Polytechnic Institute & State University (Virginia Tech), totaling $600,000, supports the development of hardware and software for sustainable and efficient wearable edge intelligence. The project aims to address fundamental accessibility and sustainability challenges of wearable health monitoring devices and artificial intelligence services for underserved communities. Key research focuses include extending the...
- 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 $226,848 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program to Temple University to develop a new ultra-low-power architecture for wearable massive-sensor computers. The project aims to leverage novel deep learning approaches to minimize the power consumption of these wearable systems, which have promising applications in big data-driven precision health. Specifically, the project will...
- This five-year, $199,995 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a co-designed framework of hardware, software, and algorithms enabling extreme-scale machine learning systems for emerging artificial intelligence of things and internet of senses technologies. Specifically, the Saint Louis University team will pursue five research thrusts: developing hardware and compiler approaches for large-scale split learning...
- The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $200,000 Project Grant to Temple University to develop transformative machine learning and data analytics technologies for enabling AI-based applications on resource-constrained edge computing devices. The project aims to address gaps between the complexity of data and the limited computing resources on edge devices, as well as the need for robust predictive models across heterogeneous edge...
This $280,000 Project Grant, awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), is funding research by Northeastern University to design and optimize tiny vector symbolic architectures (TinyVSA) for efficient on-device artificial intelligence (AI) inference on tiny devices like wearables and IoT sensors. The project aims to develop more compact vector representations for VSA classifiers, enabling them to run continuously and efficiently on low-power hardware. This could allow more everyday devices to run advanced AI locally, improving privacy, energy savings, and enabling smarter wearables, medical devices, and home gadgets. The research will also be incorporated into college courses to train the next generation of engineers and computer scientists in these emerging technologies.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $280.0k | 8/24/25 |