<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MachineLearning on Neuzida — Media &amp; Technology</title><link>https://neuzida.ai/tags/machinelearning/</link><description>Recent content in MachineLearning on Neuzida — Media &amp; Technology</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 25 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://neuzida.ai/tags/machinelearning/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Fundamentals: From Machine Learning to Agentic Intelligence</title><link>https://neuzida.ai/post/ai/</link><pubDate>Thu, 25 Jun 2026 00:00:00 +0000</pubDate><guid>https://neuzida.ai/post/ai/</guid><description>&lt;p&gt;We spend our days on a strange problem: the tools that make convincing fakes are the same ones that catch them. To see why that&amp;rsquo;s true, and why it matters more every month, it helps to walk back through the layers of intelligence underneath all of it. None of this is academic for us. It&amp;rsquo;s the machinery we work with to tell real media from synthetic.&lt;/p&gt;
&lt;h2 id="what-is-artificial-intelligence"&gt;What Is Artificial Intelligence?&lt;/h2&gt;
&lt;p&gt;Strip away the hype and AI is just machines doing things we used to think only people could: solving problems, making decisions, learning from experience. The idea goes back to the late 1940s, but the last few years turned a slow simmer into a boil. It now touches how we work, how we communicate, and, in some jobs, whether the work exists at all.&lt;/p&gt;</description></item></channel></rss>