UA Little Rock Joins DOD-Funded International Research Project to Investigate Covert Online Influence ualr.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from ualr.edu Daily Mail and Mail on Sunday newspapers.
Within a historically high budget request for the Department of Defense’s R&D programs, the Biden administration is proposing to pare back support for early-stage research.
New Technique to Flip the Optical Wavefront Prevents Distortions in Multimode Fibers azooptics.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from azooptics.com Daily Mail and Mail on Sunday newspapers.
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IMAGE: When a well-defined image propagates from the right-hand side to the left-hand side through a 1-km-long multimode fiber, its spatial profile and polarization will be strongly distorted. By flipping the. view more
Credit: Illustration by Yiyu Zhou
The use of multimode optical fibers to boost the information capacity of the Internet is severely hampered by distortions that occur during the transmission of images because of a phenomenon called modal crosstalk.
However, University of Rochester researchers at the Institute of Optics have devised a novel technique, described in a paper in
Nature Communications, to flip the optical wavefront of an image for both polarizations simultaneously, so that it can be transmitted through a multimode fiber without distortion. Researchers at the University of South Florida and at the University of Southern California collaborated on the project.
By Daniel Tkacik
Lujo Bauer, Matt Fredrikson, and Cleotilde Gonzalez are part of a team of researchers that was named a winner of a prestigious US Department of Defense (DoD) Multidisciplinary University Research Initiative (MURI) Award. The team’s project aims to address the challenge of human-bot cybersecurity teams (HBCTs), which are commonly deployed to combat cybersecurity threats and attacks but are not yet well understood.
“While we know a lot about how humans use tools to work in teams, little is known about how to manage, observe, and improve hybrid teams that compose of humans and bots,” reads the project proposal. “The area of team science that involves human-machine teams is still in its infancy.”