<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>Noblis — New Patents | PatentBrief</title>
    <link>https://patentbrief.org/company/noblis</link>
    <description>Plain-English explanations of patents assigned to Noblis, newest first.</description>
    <language>en-us</language>
    <lastBuildDate>Mon, 24 Aug 2026 00:26:56 GMT</lastBuildDate>
    <atom:link xmlns:atom="http://www.w3.org/2005/Atom" href="https://patentbrief.org/company/noblis/feed.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Improving AI Predictions by Factoring in How Much You Trust Each Model</title>
      <link>https://patentbrief.org/patent/us/20230044102/ensemble-machine-learning-models-incorporating-a-model-trust-factor</link>
      <description>This patent describes a method for making an AI system more accurate by combining several individual AI models and giving more weight to the ones considered more trustworthy.</description>
      <pubDate>Fri, 14 Aug 2026 10:56:47 GMT</pubDate>
      <guid isPermaLink="true">https://patentbrief.org/patent/us/20230044102/ensemble-machine-learning-models-incorporating-a-model-trust-factor</guid>
    </item>
  </channel>
</rss>
