Project Grant 2346091
- 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...
- The National Science Foundation awarded a $900,777 Project Grant to Georgia Tech Research Corporation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) from July 1, 2023 to June 30, 2027. The grant will support research to advance on-device 3D intelligence through algorithm-hardware co-design and co-optimization solutions. Specifically, the grant recipient will develop fundamental underpinnings for dedicated algorithm-hardware co-design to enable...
- This three-year, $279,334 National Science Foundation project grant funds research at the New Jersey Institute of Technology to develop integrated sensing and normally-off computing architectures for Internet of Things devices. The research focuses on designing processing-in-sensor units and processing-near-sensor units that co-integrate sensing and processing capabilities. These hybrid platforms will feature granularly configurable arithmetic operations to balance accuracy, speed and power...
- 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 (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 $200,000 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program supports research by the New Jersey Institute of Technology (NJIT) to develop novel techniques for analyzing spatial-temporal data in AI-driven Internet of Things (AIoT) systems. The key focus areas of the research include: (i) improving the efficiency of data analysis through novel graph neural network pruning and topology...
- The National Science Foundation awarded $194,111 under the Engineering federal grant program (CFDA 47.041) to Georgia Tech Research Corporation from August 2022 through July 2025. The funding supports research to develop machine learning-assisted modeling and design of approximate computing techniques to significantly reduce energy consumption in computation-intensive applications such as video/image processing and machine learning. Key products will include input-aware error models for...
- The National Science Foundation Division of Computer and Network Systems awarded a $177,840 Project Grant to the University of Alabama's Office for Sponsored Programs to support collaborative research towards sustainable, efficient, and secure Internet of Things. The award period is from October 1, 2021 through September 30, 2023. The grant is funded through the Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education...
- This $150,000 federal Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop and deploy low-cost, battery-powered smart cameras to democratize urban mobility data acquisition, especially in underserved communities. The research will focus on creating new control and perception algorithms to efficiently operate these smart cameras within battery and computational constraints. Key project elements...
- The Trustees of Dartmouth College received a $440,000 project grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems to develop a new type of artificial intelligence that requires no more power to operate than what is available from a self-powered sensor. The goal of the research is to design, implement, and evaluate an analog long short-term memory that is 16 times more power efficient than the state-of-the-art. This will be achieved through...
This National Science Foundation (NSF) Project Grant, awarded under the Engineering (CFDA 47.041) program, will support research to develop an energy-efficient deep neural network (DNN) framework for Internet-of-Things (IoT) camera systems. The $138,986 award to the Georgia Tech Research Corporation will fund a 1-year collaborative effort to optimize DNN models, hardware, and algorithms to enable ubiquitous deployment of intelligent, DNN-powered functions in resource-constrained IoT devices. The project aims to advance the state-of-the-art in energy-efficient DNN techniques through integrated system, hardware, and algorithm innovations, with the goal of enabling a broad range of DNN-based applications across various IoT camera use cases like traffic monitoring, self-driving cars, and augmented reality. No sub-awards are planned under this grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $139.0k | 10/27/23 |