Project Grant 2225949
- 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 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 (NSF) award under the STEM Education (CFDA 47.076) program provides $304,385 to Towson University to develop an innovative curriculum and teaching materials for edge artificial intelligence (edge AI) education and workforce development. The project aims to: Design four low-cost testbeds for edge intelligence education and research, Develop a comprehensive suite of hands-on labs and case studies utilizing edge computing hardware and software, and Integrate the new...
- 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 $129,887 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund the development of a new edge-IoT framework called DeepEdge at George Mason University from October 2022 through September 2023. DeepEdge will use deep online learning to allocate resources for heterogeneous IoT applications and dynamic devices across geographically distributed edge clouds. It aims to maximize users' quality of experience. Key...
- The National Science Foundation awarded a $2,000,000 Project Grant under the STEM Education (CFDA 47.076) program to the University of South Alabama. The award, titled "CONVERGING RESEARCH ON EDGE ARTIFICIAL INTELLIGENCE AND TRAINING ENHANCEMENT (CREATE)," will establish a research and training program focused on Edge AI. The key objectives are to: Conduct leading-edge, transdisciplinary research on incorporating AI capabilities into edge devices like home routers to enable real-time...
- 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 (NSF) awarded a $1,200,000 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the Board of Regents of the Nevada System of Higher Education, operating through the University of Nevada, Reno (UNR). This 3-year grant, with a performance period from October 1, 2025 to September 30, 2028, aims to develop innovative communication-constrained adaptive machine learning (CAML) methods that can adapt to varying...
- This $499,861 National Science Foundation project grant under the Computer and Information Science and Engineering program (CFDA 47.070) supports the development of real-time, scalable and secure collaborative intelligence capabilities at the edge. Wayne State University is the primary awardee and will work with sub-awardee University of Delaware to implement collaborative learning algorithms enabling distributed, privacy-preserving training across edge devices for multi-target tracking...
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 such as healthcare, autonomous vehicles, and augmented reality. Specifically, the university researchers will focus on online learning policies for dynamic machine learning model deployment at edge servers; distributed online transfer learning methods to retrain models using new streaming data; and edge-network control policies to optimize interactive edge AI services under resource constraints. The results are expected to benefit network operators and service providers that deploy edge AI systems, as well as end users, by automating complex decision-making and improving performance of edge services despite changing environments. Broader impacts include engaging underrepresented groups and contributing teaching materials to computer science courses.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $299.9k | 8/30/22 |