Project Grant 2311596
- 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...
- 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 $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...
- 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 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 $1,490,276 project grant to Rutgers, The State University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research from February 1, 2022 to January 31, 2026 to develop robust and efficient physics-based learning and reasoning capabilities for degraded environments. The Computer and Information Science and Engineering program aims to advance computing and informatics research, education, and...
- 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 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program, with CFDA # 47.070, provides $295,536 to NJ Edge.net Inc., a non-profit organization in Newark, NJ. The award, titled "EAGER: EMPOWERING THE AI RESEARCH COMMUNITY THROUGH FACILITATION, ACCESS, AND COLLABORATION", aims to enhance the role of campus champions, or research computing facilitators, at academic institutions. It equips these...
- Rutgers, The State University was awarded a $499,926 project grant from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund research from October 2021 through September 2024 to enable interpretable artificial intelligence via Bayesian deep learning. The Computer and Information Science and Engineering program supports investigator-initiated research and education in all areas of computing, communications, and...
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 complexity and limited computing resources on edge devices, as well as the robust performance requirements and multi-dimensional data from heterogeneous edge devices and environments. Key products and services to be delivered include efficient neural network acceleration techniques, novel multivariate data analytics models, and environment-transferable features and models to enable AI-enabled applications across diverse edge devices and environments. The research outcomes will be integrated into graduate and undergraduate curricula and shared through conferences, journals, and online access. No sub-awards are planned under this grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $240.0k | 8/24/23 |