Project Grant 2504762
Award Date 10/1/25
Completion Date 9/30/28
Dollars Obligated $1.2M
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Reno, NV 89557, USA
Similar Awards
- 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,...
- 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 Division of Computer and Network Systems awarded a $200,000 three-year Project Grant to the University of Nevada, Reno to support research titled "COLLABORATIVE RESEARCH: SWIFT: DATA DRIVEN LEARNING AND OPTIMIZATION IN RECONFIGURABLE INTELLIGENT SURFACE ENABLED INDUSTRIAL WIRELESS NETWORK FOR ADVANCED MANUFACTURING." The grant falls under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which aims to advance computing and...
- 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...
- 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 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...
- The National Science Foundation awarded a $794,000 Project Grant to the University of Illinois under the Computer and Information Science and Engineering program. The three-year award will support the development of machine learning frameworks to enable new communication and sensing capabilities for next-generation cellular networks. Specifically, the university will create autonomous systems using machine learning to maximize performance from novel hardware in networks with massive antenna...
- The National Science Foundation (NSF) Division of Computer and Network Systems awarded a $174,178 project grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the President and Board of Trustees of Santa Clara College. The project aims to develop methods and a system for deploying complex machine learning (ML) models on network processing units (NPUs) to enable ultra low-latency performance for modern applications such as self-driving, security threat...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $720,000 to fund a collaborative research project between the Massachusetts Institute of Technology (MIT) and the University of Washington. The project focuses on developing new machine learning approaches to quickly and accurately predict the performance of computer networks. Key objectives include creating models that can forecast critical network...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program, CFDA 47.070, awarded Northeastern University a 4-year, $755,040 grant to develop new algorithmic techniques that achieve favorable tradeoffs between the robustness of machine learning (ML) algorithms and compression. The project aims to enable the deployment of robust ML algorithms on edge devices like phones, sensors, and IoT devices, which have computational, storage, and...