This $111,878 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award to New York University aims to develop a hybrid, vision-centric framework that integrates intuitive and deliberate visual processing to create more robust visual intelligence. The 5-year project, commencing on February 15, 2025, will explore techniques like visual self-supervised learning, language guidance, and generative modeling to advance parametric knowledge 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...
This $400,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) is aimed at developing an innovative artificial compound eye system capable of advanced in-situ object tracking and depth perception. The project will integrate a novel photodiode-based hardware design, inspired by the hemispherical structure of arthropod eyes, to enable a wide field of view and rapid image acquisition. To efficiently process the high-dimensional visual data,...
Purdue University was awarded a $258,000 project grant from the National Science Foundation Office of Advanced Cyberinfrastructure to conduct collaborative research titled "ADVANCING LOW-POWER COMPUTER VISION AT THE EDGE." The research will be performed from July 2021 through June 2024 under the NSF's Computer and Information Science and Engineering program (CFDA 47.070). This project aims to advance the development and use of low-power computer vision capabilities that can operate...
This $300,000 five-year Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to develop new analytical tools and models to understand how the brain processes and routes sensory information. The project aims to integrate existing datasets of large-scale neural activity and anatomical connectivity to provide a mechanistic understanding of communications between brain regions. The research...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $1,999,675 to The Pennsylvania State University ("Penn State") to develop a neuroscience-inspired visual analytics system for persons with visual impairments. The project envisions an energy-efficient, AI-powered cognitive assistant that can understand the visual field, reason about object relationships, and deduce how they relate to the user's goals, through novel...
This $215,458 federal Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports research to study the representation and processing of visual information in the primate visual cortex. The key goals are to: Use deep learning models and multi-neuronal recordings to systematically characterize the nonlinear tuning functions and single-cell invariances of neurons in macaque area V4, in terms of...
This National Science Foundation (NSF) Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program aims to enhance computer vision and shape recognition capabilities. The $299,964 award, effective September 1, 2024 through August 31, 2027, supports research to develop deep learning models that can better perceive and comprehend the configural relationships between object parts, as opposed to just detecting individual components. The project seeks to create a...
The National Science Foundation (NSF) awarded a Project Grant of $599,649 to Carnegie Mellon University (CMU) under the Computer and Information Science and Engineering (CFDA 47.070) program. The goal of this 3-year project, which commenced on April 15, 2024, is to develop perception systems that can infer the 3D structure of generic objects or scenes from 2D images, even with partial observations. Key technical efforts will include formulating mechanisms for learning novel 3D generative...
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 (NSF) awarded a $449,795 Project Grant under the Engineering program (CFDA 47.041) to the University of Pittsburgh. The 5-year award, effective May 1, 2024, aims to develop a bio-inspired sensing, computing, and learning framework for next-generation computer vision (CV) systems. The proposed research will focus on three key areas: 1) creating retina-inspired vision sensors that outperform existing cameras, 2) modeling and implementing scalable corticomorphic (brain-like) compute-in-memory processor networks, and 3) developing event-based neural network architectures and algorithms for temporal pattern recognition. This integrated approach seeks to reinvent energy-efficient, low-latency CV pipelines inspired by neuroscience for applications in healthcare, defense, edge computing, and more. The project will also establish an educational consortium to train a new generation of neuromorphic engineers and researchers in computer vision.