The National Science Foundation awarded a $600,000 project grant to the University of Pittsburgh under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year award will support research into software-hardware architecture co-design for enabling true virtual reality experiences on mobile devices. The University of Pittsburgh will develop new virtual reality computing techniques and GPU hardware designs to minimize the amount of VR computation needed....
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...
This $738,652 three-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will support research into improving the safety and usability of mobile augmented and virtual reality technologies. The grantee, the University of California, Santa Barbara, will investigate how these immersive head-mounted displays affect users' attention, symptoms of motion sickness, and situational awareness when worn while walking. Researchers will collect...
This $599,848 Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports research to reduce cybersickness in virtual reality (VR) experiences. The project aims to study how performing simple distraction tasks, such as listening to music or solving puzzles, can mitigate the nausea, headaches, and dizziness that many users experience when using VR technology. The research will test different task...
The National Science Foundation awarded a $457,105 project grant to The University of Texas at San Antonio under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will support research into reducing cognitive demands and safety risks for users of mobile augmented and virtual reality technologies. Specifically, the research team will study how mobile augmented and virtual reality headsets impact user attention and symptoms of sickness while...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $400,000 in funding to Northeastern University to develop advanced algorithms and infrastructure for low-latency edge computing to support high-quality augmented/virtual/mixed reality (XR) applications on mobile devices. The key product deliverables include: (1) Algorithms to optimize wireless base station association, beamforming, and content...
The Pennsylvania State University (Penn State) was awarded a $500,000 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research from October 2021 through September 2024 to develop NPU-based architecture for accelerating deep learning on mobile devices. Specifically, Penn State researchers will work to advance the development and use of computing infrastructure that enables and...
This National Science Foundation (NSF) Early-Concept Grants for Exploratory Research (EAGER) Project Grant, awarded under the NSF Engineering program (CFDA 47.041), aims to develop research infrastructure to enhance human training through AI-driven task environments integrating humans with virtual scene simulations and multi-modal sensorimotor interactions. The $150,000 award to The Pennsylvania State University will fund research to: 1) establish an edge-assisted mixed-reality infrastructure...
This $200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a collaborative research project led by Tufts University. The project aims to develop an enhanced edge computing architecture and algorithms for low-latency 5G and beyond 5G (B5G) networks to enable high-quality augmented/virtual/mixed reality (XR) applications on mobile devices. The key products and services to be delivered...
This Project Grant award of $270,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop scalable simulation techniques and advanced memory management strategies for large-scale machine learning workloads on graphics processing units (GPUs). The key objectives are to enable faster and more efficient simulation of large machine learning models, which can take days or weeks using current methods, and to improve...