<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine Learning on PixelUnion - Free your photos from American tech platforms</title><link>https://pixelunion.eu/tags/machine-learning/</link><description>Recent content in Machine Learning on PixelUnion - Free your photos from American tech platforms</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 29 Mar 2026 13:12:44 +0200</lastBuildDate><atom:link href="https://pixelunion.eu/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Find Any Photo With Words: How Immich's AI-Powered Smart Search Works</title><link>https://pixelunion.eu/blog/2026/04/immich-smart-search/</link><pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate><guid>https://pixelunion.eu/blog/2026/04/immich-smart-search/</guid><description>&lt;p>You have five thousand photos on your server. One evening, you want to find a photo from last summer: a sunset over the water with someone holding a red umbrella. You scroll through your library. An hour passes. You&amp;rsquo;ve got nothing.&lt;/p>
&lt;p>This is the problem that traditional photo search - and most photo management systems - have never really solved. They want you to tag everything. Keyword search requires you to remember what you typed when you uploaded the photo. Location and date filters help, but they&amp;rsquo;re not enough when you&amp;rsquo;re searching for a feeling, a scene, or a specific colour.&lt;/p></description></item></channel></rss>