<?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>On-Device Machine Learning on BriefArc</title><link>https://briefarc.com/tags/on-device-machine-learning/</link><description>Recent content in On-Device Machine Learning on BriefArc</description><image><title>BriefArc</title><url>https://briefarc.com/images/og-cover.png</url><link>https://briefarc.com/images/og-cover.png</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 30 Apr 2026 03:31:37 +0000</lastBuildDate><atom:link href="https://briefarc.com/tags/on-device-machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>How MIT just made it possible to train AI on your phone without uploading your data</title><link>https://briefarc.com/posts/how-mit-just-made-it-possible-to-train-ai-on-your-phone-without-uploading-your-d/</link><pubDate>Thu, 30 Apr 2026 03:31:37 +0000</pubDate><guid>https://briefarc.com/posts/how-mit-just-made-it-possible-to-train-ai-on-your-phone-without-uploading-your-d/</guid><description>A new MIT technique lets smartphones and laptops train AI models entirely on-device, keeping your personal photos, messages, and habits private. Here&amp;#39;s what it means for your privacy and when you can expect it in your gadgets.</description></item></channel></rss>