Project Grant 2311598
Award Date
9/1/23
Completion Date
8/31/26
Dollars Obligated
$160K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Old Westbury, NY 11568, USA
Similar Awards
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...
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...
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 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 for $375,022.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop new cross-layer computing architectures and strategies to enable efficient edge intelligence and real-time processing for resource-limited Internet of Things (IoT) devices. The research will focus on designing non-Von Neumann architectures that integrate computation and data conversion capabilities to reduce data...
This Project Grant award of $200,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will support research at the New Jersey Institute of Technology (NJIT) to develop novel techniques for analyzing spatial-temporal data in AI of Things (AIoT) systems. The research project aims to advance graph signal processing and graph learning methods to enable interpretable and efficient analysis of complex,...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $299,920 to the University of Oregon from October 2022 through September 2025 to support research and education related to edge artificial intelligence with streaming data. The award will fund the development of new theoretical models and practical algorithms to improve the accuracy and timeliness of edge AI services for online streaming data in applications...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, with a total funding of $174,770, supports the development of an adaptive, federated, continuous learning system that uses a novel federated, semi-supervised learning framework. This framework aims to retrain deep neural network models on distributed, unlabeled, heterogeneous data from edge devices, while leveraging explainable AI techniques to expedite local training. The...
This Project Grant award, provided by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), is funding the development of enabling technologies for integrating distributed intelligence into the network edge to support next-generation smart applications. The $100,000 award is supporting research activities focused on three main thrusts: (1) developing techniques for the life cycle of distributed intelligence, including data curation,...
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...