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      <title>Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing</title>
      <link>https://www.infoq.com/news/2026/02/conductor-quantum-coda/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Natural+Language+Processing-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/02/conductor-quantum-coda/en/headerimage/generatedHeaderImage-1770196279507.jpg"/&gt;&lt;p&gt;Conductor Quantum has announced Coda, a natural language interface for running quantum programs on real quantum hardware. The system is positioned as a software layer that translates high-level user intent into executable quantum circuits.&lt;/p&gt; &lt;i&gt;By Robert Krzaczyński&lt;/i&gt;</description>
      <category>Quantum Computing</category>
      <category>Natural Language Processing</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 06 Feb 2026 06:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/02/conductor-quantum-coda/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Natural+Language+Processing-news</guid>
      <dc:creator>Robert Krzaczyński</dc:creator>
      <dc:date>2026-02-06T06:07:00Z</dc:date>
      <dc:identifier>/news/2026/02/conductor-quantum-coda/en</dc:identifier>
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    <item>
      <title>Google Introduces TranslateGemma Open Models for Multilingual Translation</title>
      <link>https://www.infoq.com/news/2026/01/google-translategemma-models/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Natural+Language+Processing-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/01/google-translategemma-models/en/headerimage/generatedHeaderImage-1769531019828.jpg"/&gt;&lt;p&gt;Google has released TranslateGemma, a set of open translation models based on the Gemma 3 architecture, offering 4B, 12B, and 27B parameter variants designed to support machine translation across 55 languages and to run on platforms ranging from mobile and edge devices to consumer hardware and cloud accelerators.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Google</category>
      <category>Model Fine Tuning</category>
      <category>Artificial Intelligence</category>
      <category>Gemini</category>
      <category>Reinforcement Learning</category>
      <category>Natural Language Processing</category>
      <category>Large language models</category>
      <category>Gemma</category>
      <category>Translation</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 28 Jan 2026 10:16:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/01/google-translategemma-models/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Natural+Language+Processing-news</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-01-28T10:16:00Z</dc:date>
      <dc:identifier>/news/2026/01/google-translategemma-models/en</dc:identifier>
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