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    <title><![CDATA[Machine Learning News - Daily AI Mail]]></title>
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      <title><![CDATA[MIT's EnergAIzer Estimates AI Power Use in Seconds]]></title>
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      <description><![CDATA[MIT and MIT-IBM Watson AI Lab researchers have developed EnergAIzer, a method for estimating the power draw of AI workloads in seconds. The tool could help data center operators, model developers, and chip designers reduce wasted energy as AI demand grows.]]></description>
      <pubDate>Mon, 27 Apr 2026 15:09:00 GMT</pubDate>
      <dc:creator><![CDATA[Daily AI Mail Editorial Staff]]></dc:creator>
      <category><![CDATA[Machine Learning]]></category>
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      <title><![CDATA[Gemma 4: Byte for Byte, the Most Capable Open Models Google Has Ever Built]]></title>
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      <description><![CDATA[Google has released Gemma 4, its most capable open model family yet — four sizes from edge-optimized 2B to a 31B dense model, all under Apache 2.0 and built on the same research that powers Gemini 3.]]></description>
      <pubDate>Thu, 02 Apr 2026 22:45:00 GMT</pubDate>
      <dc:creator><![CDATA[Daily AI Mail Editorial Staff]]></dc:creator>
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