<?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 Danzeng Cairang</title><link>https://www.tenzindann.com/tags/machine-learning/</link><description>Recent content in Machine Learning on Danzeng Cairang</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 31 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.tenzindann.com/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Natural Science</title><link>https://www.tenzindann.com/projects/natural-science/</link><pubDate>Mon, 26 Jan 2026 00:00:00 +0000</pubDate><guid>https://www.tenzindann.com/projects/natural-science/</guid><description>&lt;h2 id="neuro-science-project"&gt;Neuro Science Project&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;Capstone&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;fMRI Multimodal Machine Learning&lt;/li&gt;
&lt;li&gt;&lt;a href="https://tenzindann.github.io/parcelbit/"&gt;Website Link&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>How the Human Brain Makes Sense of Multimodal Movies</title><link>https://www.tenzindann.com/blog/brain-study/</link><pubDate>Wed, 26 Nov 2025 00:00:00 +0000</pubDate><guid>https://www.tenzindann.com/blog/brain-study/</guid><description>Building multimodal encoding models to predict human fMRI responses to naturalistic movies and probe how vision and sound are represented in the brain.</description></item></channel></rss>