Project Grant 2036344
- The National Science Foundation Division of Industrial Innovation awarded a $275,844 Project Grant to Learn2Earn Corp of San Diego, CA on February 15, 2021 with a completion date of November 30, 2021. The grant falls under the Engineering program (CFDA 47.041) to support the development of products and services for "EMPOWERING EDUCATORS WITH AI DURING DISTANCE LEARNING (COVID-19)." Specifically, the funding will allow Learn2Earn Corp to deliver artificial intelligence-powered tools and...
- 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 (NSF) awarded a $889,209 Project Grant under the Geosciences Program (CFDA 47.050) to the University of California, Irvine (UC Irvine) to advance wildfire science, prediction, and management using machine learning. The key products and services to be delivered include: Developing a large new public dataset of fire-related environmental observations to support large-scale machine learning and reproducible research on wildfire spread modeling. Advancing innovative...
- 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 $175,000 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports the "UNITED LEARNING: DATA-SHAREABLE HETEROGENEOUS DISTRIBUTED LEARNING" project, which aims to develop distributed learning systems that enable data sharing across heterogeneous devices, such as personal computers, smartphones, and Internet of Things (IoT) devices. The project seeks to address challenges...
- This Project Grant award, valued at $150,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The project aims to develop a novel Next Generation (NextG) network design to support resilient Federated Learning (FL) over large-scale heterogeneous mobile devices. Key technical objectives include: Exploiting serverless computing at the network edge to provide resilient and efficient ML...
- This National Science Foundation (NSF) grant award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $250,000 over 3 years to Northeastern University, a private non-profit research university based in Boston, MA, to develop advanced techniques for continual online learning on energy-constrained edge computing devices. The key products and services to be delivered through this research project include: (1) an attention-guided smart layer freezing approach...
Fireline Science LLC received a $255,221 Project Grant award from the National Science Foundation on May 15, 2021 to develop an Offline Edge Learning Management System under the Engineering federal grant program (CFDA 47.041). The award has a completion date of April 30, 2022 and will support research and development of technology to enable machine learning and artificial intelligence capabilities in remote and disconnected environments. Specifically, the company will use the funding to create a platform for offline edge devices to perform on-device machine learning tasks without a live internet connection. The system is intended to help address challenges presented by the COVID-19 pandemic through supporting distributed and resilient computing infrastructure. The work is being performed in Guadalupe, Arizona and aims to advance the National Science Foundation's mission of fostering innovation in engineering research.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $255.2k | 5/13/21 |