Focus on Vision: Research Happenings | April 9, 2026
In this episode of Focus on Vision, Justine Murphy covers some of the latest technology found in machine vision and imaging happening at universities.
- A new metasurface-based optical learning machine, developed by a team at the Chinese University of Hong Kong, could boost optical neural networks’ scalability and can make them more versatile.
- Automation is advancing rapidly, and part of the success of such growth will rely on more efficient material handling performed by robots. And now, researchers at the Tokyo University of Science are making that happen.
- A team at the University of Electronic Science and Technology of China is exploring new ways beyond traditional computer vision to ultimately help make computer imagery more realistic for applications like augmented reality and robotics.
Visit Vision Systems Design's YouTube channel for additional informative videos.
Time Stamps
0:00 Intro
0:19 Chinese University of Hong Kong's Metasurface-based Optical Learning Machine
01:24 Researchers at the Tokyo University of Science Improve Material Handling with Robots
02:36 Team at the University of Electronic Science and Technology of China Advancing Computer Imagery for AR and Robotics.
3:49 Outro
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About the Author
Justine Murphy
Justine Murphy is the multimedia director for Endeavor Business Media's Digital Infrastructure Group. She is a multiple award-winning writer and editor with more 20 years of experience in newspaper publishing as well as public relations, marketing, and communications. For nearly 10 years, she has covered all facets of the optics and photonics industry as an editor, writer, web news anchor, and podcast host for an internationally reaching magazine publishing company. Her work has earned accolades from the New England Press Association as well as the SIIA/Jesse H. Neal Awards. She received a B.A. from the Massachusetts College of Liberal Arts.