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 $299,889 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research at the University of California, San Diego (UCSD) to develop algorithms for compressing and improving the efficiency of large neural networks used in modern artificial intelligence applications. The key products and services to be delivered include: The research project focuses on developing quantization, pruning, and low-rank...
The National Science Foundation (NSF) awarded a $400,000 Project Grant to the New Jersey Institute of Technology (NJIT) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The four-year grant, effective from September 1, 2023 to August 31, 2027, supports collaborative research on the responsible design and validation of algorithmic rankers. The project aims to develop methods to: 1) quantify the impact of item attributes and data engineering choices on ranked...
The University of California, Davis received a $382,629 Project Grant award from the National Science Foundation Division of Information and Intelligent Systems on August 15, 2021 to support research through July 31, 2022. The grant funds the development of an extensible heterogeneous network embedding framework to enable application-specific adaptation under the Computer and Information Science and Engineering program (CFDA #47.070). This framework will provide customizable network...
The National Science Foundation Division of Information and Intelligent Systems awarded a $500,000 Project Grant to Stanford University from October 1, 2021 to September 30, 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to develop new tools for studying structural and inductive bias in natural language processing models. The Computer and Information Science and Engineering program supports investigator-initiated research and...
The National Science Foundation has awarded a $299,990 Project Grant to Columbia University to develop a prototype system using large language models to assist in the review process for releasing government records. The project aims to determine the additional data and training required to achieve acceptable levels of accuracy in using large language models to identify information that is already in the public domain, in order to streamline the document review process. The iterative system...
This $500,000 Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to George Mason University aims to develop novel neuro-symbolic learning-to-rank models to deliver interpretable, balanced, and robust rankings for critical applications such as search engine results, news/social media curation, and decision support systems. The project will leverage neuro-symbolic learning to create transparent ranking algorithms that can...
The University of California, Davis was awarded a $600,000 project grant from the National Science Foundation Division of Information and Intelligent Systems. The grant supports the collaborative research project "SELF-SUPERVISED RECOMMENDER SYSTEM LEARNING WITH APPLICATION SPECIFIC ADAPTION" from October 15, 2021 to September 30, 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). This project aims to develop self-supervised recommender system...
The University of California, Santa Barbara was awarded a $299,966 project grant from the National Science Foundation Division of Computing and Communication Foundations. The grant is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049) and will support research titled "COLLABORATIVE RESEARCH: SCALE MODL: ADAPTIVITY OF DEEP NEURAL NETWORKS" from October 1, 2021 through September 30, 2024. The grant funding will enable collaborative research exploring the...
This Project Grant award, valued at $347,549, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The award supports research by New York University (NYU) to develop interactive language systems that can critically reason about textual sources to provide high-quality, up-to-date information. The key focus areas include: (1) expanding the definition of document relevancy to incorporate...