Project Grant 0955640

This CAREER award of $345,135, funded by the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), supports research to advance image retrieval systems for fine-grained visual categorization tasks. The project, awarded to Saint Louis University on June 15, 2025, with completion targeted for May 31, 2030, focuses on developing computational methods that align image retrieval systems with...

This Project Grant award from the National Science Foundation's Division of Behavioral and Cognitive Sciences (CFDA 47.075 Social, Behavioral, and Economic Sciences) provides $386,744 to Vanderbilt University to investigate the components, correlates, and mechanisms of object recognition and visual decision-making abilities. The project aims to understand how and why individuals vary in their ability to make visual decisions, analyzing the performance of large participant groups across...

Rice University was awarded a $499,760 Project Grant from the National Science Foundation Division of Information and Intelligent Systems on October 1, 2021 to support research titled "CAREER: TEACHING MACHINES TO RECOGNIZE COMPLEX VISUAL CONCEPTS IN IMAGES THROUGH COMPOSITIONALITY." The grant is being administered through the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in all areas of...

This National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $1,646,782 in funding to Trustees of Boston University over 5 years to develop a brain-inspired algorithm for complex scene analysis. The key products and services being delivered include: The research integrates three interdisciplinary threads to develop this algorithm: Using brain imaging and machine learning to decode...

Federal Grant Award Summary The National Science Foundation's Division of Behavioral and Cognitive Sciences awarded $443,888 to the Research Foundation of The City University of New York (RFCUNY), doing business as Rfcuny - City College, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The award, effective September 1, 2025, and concluding August 31, 2028, funds a research project that combines category learning with machine vision models to advance understanding of...

The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded a $500,000 Project Grant to the University of California, Davis (UC Davis) to understand how the brain supports decision-making processes. The three-year grant, awarded under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), aims to identify neural features that provide information about the decision-making process, build decoders to predict decisions, and develop a closed-loop...

This Project Grant, awarded September 1, 2025, by the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), provides $604,425 in funding through August 31, 2028, to support fundamental research on memory-guided attention at UC Berkeley. The primary deliverable is scientific research investigating how the brain's hippocampus minimizes confusion between similar memories to direct attention accurately...

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...

This three-year, $298,656 project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program aims to develop useful and precise definitions of "representation" and "inference" as they pertain to neural activity in the brain. The awardee, Barnard College, will survey potential definitions of these key neuroscience concepts and propose new definitions linked to specific types of learning and their identifiable neural correlates. The project...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) provides $300,000 to Temple University to enhance computer vision capabilities through shape configuration learning. The 3-year project aims to develop new deep learning techniques that allow computers to better recognize and comprehend objects as interconnected shapes, rather than just individual parts. This includes improving attention mechanisms to focus on relevant...