<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"><channel><title>Light-programmed system projects 28-layer 3D images in single shot — Live Feed</title><link>https://www.live-feeds.com/feed/light-programmed-system-projects-28-layer-3d-images-in-single-shot</link><atom:link xmlns:atom="http://www.w3.org/2005/Atom" href="https://www.live-feeds.com/feed/light-programmed-system-projects-28-layer-3d-images-in-single-shot/rss.xml" rel="self" type="application/rss+xml"/><description>Continuously updated, source-cited coverage.</description>
<item><title>UCLA team projects 28-layer 3D images in single shot using AI-optimized light system</title><link>https://www.live-feeds.com/feed/light-programmed-system-projects-28-layer-3d-images-in-single-shot</link><guid isPermaLink="false">https://www.live-feeds.com/feed/light-programmed-system-projects-28-layer-3d-images-in-single-shot#u1666</guid><pubDate>Tue, 16 Jun 2026 20:22:31 +0000</pubDate><description>Researchers at UCLA Samueli and CNSI have developed a hybrid digital-optical system that projects 28 distinct 3D image layers simultaneously without crosstalk. The system combines a digital encoder with a passive diffractive decoder, optimized end-to-end via deep learning. This breakthrough advances compact volumetric display technology, with applications in high-fidelity 3D imaging.What's confirmed:A UCLA Samueli School of Engineering and CNSI team led by Professor Aydogan Ozcan created a snapshot 3D image projection system that integrates a digital encoder with a passive diffractive optical </description></item>
</channel></rss>