The National Science Foundation Division of Computing and Communication Foundations awarded Duke University a $410,000 Project Grant from October 1, 2021 to September 30, 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds collaborative research to revitalize exploratory data analysis from a machine learning perspective. The Computer and Information Science and Engineering program supports investigator-initiated research and education across...
Duke University was awarded a $229,565 Project Grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support the collaborative research project "RESEARCH INFRASTRUCTURE FOR REAL-TIME COMPUTER VISION AND DECISION MAKING VIA MOBILE ROBOTS" being conducted from October 1, 2021 to September 30, 2024. The project aims to advance the development and use...
Duke University was awarded a $500,000 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Under this three-year award beginning November 1, 2021, Duke University will transform computer architecture...
This National Science Foundation project grant award of $399,957 supports research and education activities aligned with the Computer and Information Science and Engineering program. Specifically, Duke University will conduct research to develop a comprehensive statistical and computational theory of neural estimation and apply it to novel applications in communications. Key deliverables include establishing a non-asymptotic neural estimation theory accounting for multiple sources of error and...
The National Science Foundation Division of Information and Intelligent Systems awarded Duke University a $150,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) for the period of September 1, 2021 through August 31, 2023. The grant funds the "EAGER: Distributed Heterogeneous Data Analytics via Federated Learning" project. This project supports the development of federated learning techniques to enable distributed and privacy-preserving...
Duke University received a $125,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) to develop open-source software and algorithms for automated data storytelling through the identification of paradoxes within extensive datasets. The goal is to make data storytelling techniques accessible to non-experts and facilitate the exploration and interpretation of complex information. Duke University will focus on...
This Project Grant from the National Science Foundation Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $169,938 to support research in self-supervised visual representation learning using mixed labeled and unlabeled data. Specifically, the University of California, Davis will study novel self-supervised learning algorithms that can learn rich visual features from unlabeled images and videos...
The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the University of California, San Diego (UCSD) under the Computer and Information Science and Engineering (CFDA 47.070) program. The 3-year grant, effective July 1, 2023, supports research to develop dynamic neural network architectures that can efficiently enable multimodal perception, including vision, audio, and language processing. The research aims to address...
This Project Grant award of $150,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research on Algorithm-Informed Neural Networks (AINNs), a new approach that integrates well-established algorithmic principles into the design of neural networks. The goal is to enhance the explainability, reliability, and efficiency of AI systems, making them more interpretable and reducing their dependence on large datasets....
The National Science Foundation awarded Duke University $353,138 under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) for the project "Collaborative Research: The Role of Trust when Learning from Robots" from October 1, 2021 to November 30, 2024. Duke will research child-robot interactions and children's learning processes when social cues to an educational robot's agency and role are manipulated. A graduate student at Cornell University will conduct experiments...