This $300,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research at New York University to develop efficient computer systems for augmented and virtual reality through a perception-guided approach. Specifically, the researchers will design software-hardware mechanisms to quantitatively model human visual perception and leverage those models across system stacks to achieve an order of magnitude gain in...
The National Science Foundation awarded a $900,777 Project Grant to Georgia Tech Research Corporation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) from July 1, 2023 to June 30, 2027. The grant will support research to advance on-device 3D intelligence through algorithm-hardware co-design and co-optimization solutions. Specifically, the grant recipient will develop fundamental underpinnings for dedicated algorithm-hardware co-design to enable...
The National Science Foundation (NSF) awarded a $356,997 Project Grant under its Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Virginia Polytechnic Institute & State University (Virginia Tech) to investigate security vulnerabilities and threats from side-channel attacks on foveated rendering systems used in virtual and augmented reality (VR/AR) applications. The project aims to develop defense mechanisms to protect user eye-tracking data and privacy in...
The Regents of the University of California, Berkeley received a $224,998 project grant award from the National Science Foundation Division of Information and Intelligent Systems to support research titled "COLLABORATIVE RESEARCH: HCC: MEDIUM: DEEP LEARNING-BASED TRACKING OF EYES AND LENS SHAPE FROM PURKINJE IMAGES FOR HOLOGRAPHIC AUGMENTED REALITY GLASSES." The research aims to develop deep learning techniques to track eye and lens shape from Purkinje images for use in augmented...
The National Science Foundation (NSF) awarded a $266,000 Project Grant to the Georgia Tech Research Corporation, doing business as the Office of Sponsored Programs, under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of a compact and energy-efficient "compute-in-memory" accelerator for deep learning applications leveraging ferroelectric vertical NAND memory technology. Key objectives include designing and evaluating...
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,...
The National Science Foundation awarded a $715,369 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the Georgia Tech Research Corporation from October 1, 2022 to September 30, 2027.
The grant will support research to develop scalable design methodologies for distributed edge-cloud systems to enable multi-party augmented, virtual and mixed reality experiences. Key products will include innovations across the system stack to improve quality of...
The National Science Foundation (NSF) awarded a 5-year, $198,370 CAREER grant to Mississippi State University (MSU) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This project seeks to advance virtual reality (VR) research by combining insights from computer science, neuroscience, and ophthalmology to improve the coupling between VR systems and people's perceptual abilities and physical features. Key activities include leveraging ophthalmic models to...
The National Science Foundation (NSF) awarded a $300,000 Project Grant to Arizona State University under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on January 1, 2024. The grant supports a 3-year collaborative research project to develop novel hardware platforms and algorithms for fusing optical and ultrasonic sensors to enhance computer vision and computational imaging capabilities. The key products and services to be delivered include:
New rendering...
This $1,200,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to broaden access to large visual learning models for small businesses, developers, and users with limited computational, data, or expert resources. The project will focus on democratizing this technology by reducing the data, computation, and human expertise needed to create and deploy application-specific models. Key objectives include...