Project Grant 2510328
Award Date
10/1/24
Completion Date
5/31/26
Dollars Obligated
$215K
Funding Federal Agency
National Science Foundation
Awarding Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Stanford, CA 94305, USA
Similar Awards
The National Science Foundation Division of Information and Intelligent Systems awarded a $750,000 Project Grant to Stanford University for research titled "COLLABORATIVE RESEARCH: NCS-FR: BEYOND THE VENTRAL STREAM: REVERSE ENGINEERING THE NEUROCOMPUTATIONAL BASIS OF PHYSICAL SCENE UNDERSTANDING IN THE PRIMATE BRAIN." The three-year grant, awarded October 1, 2021 and concluding September 30, 2024, will support research activities under the Computer and Information Science and...
This $580,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems will fund research to develop more biologically realistic computational models of the primate visual system. Awarded under the Computer and Information Science and Engineering program (CFDA 47.070), the grant supports work at the University of California, San Diego from September 15, 2022 to August 31, 2025. The research aims to incorporate key features of human vision missing from...
The National Science Foundation (NSF) awarded a $425,875 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Leland Stanford Junior University (Stanford University) for the project "CAREER: STATE SPACE MODELS FOR NEURAL AND BEHAVIORAL DATA". The 5-year project, starting on August 1, 2025, aims to develop novel computational and statistical methods to analyze high-dimensional neural and behavioral time series data, with the goal of...
The National Science Foundation (NSF) awarded a $225,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to The Leland Stanford Junior University. The 3-year grant, effective July 1, 2024, aims to gain a deeper theoretical understanding of the statistical properties of neural networks, which have revolutionized science and engineering. Key research directions include studying the distinguishing features of deep neural networks compared to classical statistical...
This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research at Carnegie Mellon University (CMU) to investigate the computational mechanisms underlying rapid recurrent plasticity in the visual cortex. The project aims to develop a machine learning framework to understand how these dynamic recurrent circuits in the brain can rapidly encode relationships between concepts, perform manifold...
This $1,090,678 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop computational algorithms that align deep neural networks (DNNs) with human visual processing. The project aims to rectify the growing "misalignment" between the behavior of large-scale DNNs and human cognition as AI systems become more capable. Researchers at Brown University will combine human...
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...
The National Science Foundation Division of Computer and Network Systems awarded a $337,020 project grant to Stanford University under the Computer and Information Science and Engineering program (CFDA 47.070) to support research on visual tactile neural fields for active digital twin generation. Over a three-year period from October 2022 through September 2025, Stanford researchers will develop new algorithms and computational tools to allow robots to combine visual and tactile sensory data...
This federal Project Grant award of $283,832, made by the National Science Foundation's (NSF) Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports research to investigate how the human brain creates the perception of visual stability during naturalistic attention tasks. The project aims to test whether the latest AI-powered vision-language models can generate plausible visual scenes in real-time using limited input...
This four-year, $400,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop new techniques for 3D scene understanding. Specifically, the Stanford University researchers will explore implicit neural representations to model scene structure and details from raw images and videos. They will integrate findings into course development and partner with organizations to teach artificial intelligence, computer vision, and...