<?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>Td on Tenu Tech Brief</title>
    <link>https://cluster-site.onrender.com/tags/td/</link>
    <description>Recent content in Td on Tenu Tech Brief</description>
    <generator>Hugo -- 0.146.0</generator>
    <language>en-us</language>
    <lastBuildDate>Wed, 25 Feb 2026 14:45:24 +0000</lastBuildDate>
    <atom:link href="https://cluster-site.onrender.com/tags/td/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Scailium partners with TD SYNNEX for AI scaling</title>
      <link>https://cluster-site.onrender.com/posts/scailium-partners-with-td-synnex-for-ai-scaling/</link>
      <pubDate>Wed, 25 Feb 2026 08:25:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/scailium-partners-with-td-synnex-for-ai-scaling/</guid>
      <description>• Collaboration brings GPU-native software to channel partners to improve utilization and reduce AI infrastructure energy waste • SCAILIUM announced a strategic partnership with TD</description>
    </item>
    <item>
      <title>TD Cowen: Despite CFTC intervention, states hold edge in prediction markets legal fight</title>
      <link>https://cluster-site.onrender.com/posts/td-cowen-despite-cftc-intervention-states-hold-edge-in-prediction-markets-legal-fight/</link>
      <pubDate>Wed, 18 Feb 2026 21:31:20 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/td-cowen-despite-cftc-intervention-states-hold-edge-in-prediction-markets-legal-fight/</guid>
      <description>• &amp;lsquo;We continue to give a slight edge to the states in this legal fight primarily because the states have historically been the regulators of sports gambling.&amp;rsquo;</description>
    </item>
    <item>
      <title>RL without TD learning</title>
      <link>https://cluster-site.onrender.com/posts/rl-without-td-learning/</link>
      <pubDate>Sat, 01 Nov 2025 09:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/rl-without-td-learning/</guid>
      <description>• In this post, Iâll introduce a reinforcement learning (RL) algorithm based on an âalternativeâ paradigm: divide and conquer. • Unlike traditional methods, this algorithm is not b</description>
    </item>
    <item>
      <title>RL without TD learning</title>
      <link>https://cluster-site.onrender.com/posts/rl-without-td-learning/</link>
      <pubDate>Sat, 01 Nov 2025 09:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/rl-without-td-learning/</guid>
      <description>• In this post, Iâll introduce a reinforcement learning (RL) algorithm based on an âalternativeâ paradigm: divide and conquer. • Unlike traditional methods, this algorithm is not b</description>
    </item>
  </channel>
</rss>
