<?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>MIT Research on BriefArc</title><link>https://briefarc.com/tags/mit-research/</link><description>Recent content in MIT Research 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>Wed, 29 Apr 2026 05:31:45 +0000</lastBuildDate><atom:link href="https://briefarc.com/tags/mit-research/index.xml" rel="self" type="application/rss+xml"/><item><title>Privacy risks to watch and simple ways to protect yourself</title><link>https://briefarc.com/posts/privacy-risks-to-watch-and-simple-ways-to-protect-yourself/</link><pubDate>Wed, 29 Apr 2026 05:31:45 +0000</pubDate><guid>https://briefarc.com/posts/privacy-risks-to-watch-and-simple-ways-to-protect-yourself/</guid><description>MIT researchers have developed a way for AI models to train directly on everyday devices like phones, keeping sensitive data local. Here&amp;#39;s what that means for your privacy and the future of AI apps.</description></item></channel></rss>