Project Grant 2123963

Award Date 10/1/21
Completion Date 9/30/24
Dollars Obligated $750K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Stanford, CA 94305, USA
Similar Awards
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program will support research into the neuroscientific mechanisms of visual perception and cognition. The primary awardee, The Leland Stanford Junior University, will use an innovative "inception loop" technique combining multi-neuronal recordings and deep learning models to systematically characterize the neural tuning and receptive field...
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 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...
The Massachusetts Institute of Technology (MIT) received a three-year, $2.25 million Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences Directorate under the CFDA 47.075 Social, Behavioral, and Economic Sciences program. The grant funds collaborative research titled "Beyond the Ventral Stream: Reverse Engineering the Neurocomputational Basis of Physical Scene Understanding in the Primate Brain." The research aims to advance...
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...
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 (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 awarded a $400,000 Project Grant to Stanford University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund a research collaboration titled "COLLABORATIVE RESEARCH: CPS: MEDIUM: CLOSING THE TELEOPERATION GAP: INTEGRATING SCENE AND NETWORK UNDERSTANDING FOR DEXTEROUS CONTROL OF REMOTE ROBOTS" from February 2021 through January 2024. The grant aims to advance investigator-initiated research and education in...
The University of California, Davis received a $328,084 Project Grant award from the National Science Foundation Division of Computer and Network Systems on July 1, 2021. The grant supports research under the Computer and Information Science and Engineering program (CFDA 47.070) to advance the evolution of computer vision for low power devices and break through existing power and computational complexity barriers. Specifically, the university will conduct investigator-initiated research...
The National Science Foundation awarded a $500,000 Project Grant to the University of California, San Diego under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support the "PANOPTIC 3D PARSING IN THE WILD" research project. The three-year award, which runs from October 1, 2021 through September 30, 2024, will fund the development of technologies to enable panoptic 3D scene parsing using computer vision techniques for unconstrained images in...

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 Engineering program (CFDA 47.070). This program aims to advance the development and use of research cyberinfrastructure to enable and accelerate discovery and innovation in all areas of computing, communications, and information science and engineering. Specifically, the awarded research will investigate the neurocomputational basis of physical scene understanding in primate brains through a collaborative effort between Stanford University researchers.

Generated 1/6/24, 5:01 PM