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      <title>Google Launches LiteRT Tensor API for Building, Customizing, and Optimizing ML Models for On-Device</title>
      <link>https://www.infoq.com/news/2026/11/litert-tensor-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=TensorFlow-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/11/litert-tensor-api/en/headerimage/litert-tensor-api-1793729374644.jpeg"/&gt;&lt;p&gt;Google has introduced the LiteRT Tensor API, a lightweight C++ API that allows developers to build, customize, and optimize machine learning models directly for on-device execution. According to Google, it combines the flexibility of native model authoring with cross-platform portability.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>iOS</category>
      <category>Mobile</category>
      <category>Open Source</category>
      <category>AI coding agents</category>
      <category>C++</category>
      <category>Edge Computing</category>
      <category>TensorFlow</category>
      <category>Android</category>
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      <pubDate>Tue, 03 Nov 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/litert-tensor-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=TensorFlow-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-11-03T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/litert-tensor-api/en</dc:identifier>
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    <item>
      <title>Google ML Drift Accelerates On-Device AI Inference across Diverse GPUs</title>
      <link>https://www.infoq.com/news/2026/10/google-ml-drift/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=TensorFlow-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/google-ml-drift/en/headerimage/gemini-agentic-vision-1792946554031.jpg"/&gt;&lt;p&gt;Google has released ML Drift, an open-source, cross-platform GPU compute engine designed for on-device AI and machine learning inference. Licensed under Apache 2.0, it abstracts the complexities of different GPU hardware and low-level APIs, supporting OpenGL ES, OpenCL, Metal, and WebGPU.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>Open Source</category>
      <category>Large language models</category>
      <category>TensorFlow</category>
      <category>Edge</category>
      <category>Local Inference</category>
      <category>Google</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 25 Oct 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/google-ml-drift/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=TensorFlow-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-10-25T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/google-ml-drift/en</dc:identifier>
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