<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Denoising on Startgaze — Astronomy, Stargazing &amp; Space Science</title><link>https://www.startgaze.com/tags/denoising/</link><description>Recent content in Denoising on Startgaze — Astronomy, Stargazing &amp; Space Science</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 16 Jun 2026 07:38:12 +0000</lastBuildDate><atom:link href="https://www.startgaze.com/tags/denoising/index.xml" rel="self" type="application/rss+xml"/><item><title>An AI that taught itself what noise looks like found three times more galaxies in JWST data</title><link>https://www.startgaze.com/posts/2026-06-16-asteris-ai-denoising-jwst-one-magnitude-deeper/</link><pubDate>Tue, 16 Jun 2026 07:38:12 +0000</pubDate><guid>https://www.startgaze.com/posts/2026-06-16-asteris-ai-denoising-jwst-one-magnitude-deeper/</guid><description>ASTERIS, a self-supervised AI denoiser from Tsinghua, pushed JWST detection limits one magnitude deeper and tripled the count of early-universe galaxy candidates.</description></item></channel></rss>