<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>Nant Holdings IP — New Patents | PatentBrief</title>
    <link>https://patentbrief.org/company/nant-holdings-ip</link>
    <description>Plain-English explanations of patents assigned to Nant Holdings IP, newest first.</description>
    <language>en-us</language>
    <lastBuildDate>Sun, 14 Jun 2026 06:23:29 GMT</lastBuildDate>
    <atom:link xmlns:atom="http://www.w3.org/2005/Atom" href="https://patentbrief.org/company/nant-holdings-ip/feed.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Training AI on Private Data Without Seeing It</title>
      <link>https://patentbrief.org/patent/us/12518214/distributed-machine-learning-systems-including-generation-of-synthetic-data</link>
      <description>This patent describes a way to train artificial intelligence models using private data stored on many separate computers, by generating fake data that mimics the real data&apos;s patterns, so the private data itself never leaves its original location.</description>
      <pubDate>Tue, 06 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="true">https://patentbrief.org/patent/us/12518214/distributed-machine-learning-systems-including-generation-of-synthetic-data</guid>
    </item>
  </channel>
</rss>
