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      <title>Airbnb Cuts Recommendation Staleness from 2 Days to Seconds with Chronon</title>
      <link>https://www.infoq.com/news/2026/10/airbnb-chronon-recommendation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Machine+Learning-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Airbnb extended its Chronon feature platform with Push Mode and Near Real-Time Model Transform to update sequence-based recommendation embeddings within seconds. The architecture reduced embedding staleness from nearly two days to under a minute and improved offline NDCG by 1.67%, while online testing increased uncancelled bookings by approximately one-third of a percent.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>MLOps</category>
      <category>Machine Learning</category>
      <category>Platforms</category>
      <category>Transformer models</category>
      <category>Batch Processing</category>
      <category>Real Time</category>
      <category>Event Driven Architecture</category>
      <category>Streaming</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Wed, 28 Oct 2026 13:53:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/airbnb-chronon-recommendation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Machine+Learning-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-28T13:53:00Z</dc:date>
      <dc:identifier>/news/2026/10/airbnb-chronon-recommendation/en</dc:identifier>
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    <item>
      <title>Production AI and Engineering Team Design: InfoQ’s November Certification Cohorts</title>
      <link>https://www.infoq.com/news/2026/10/online-cohorts-nov-certification/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Machine+Learning-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/online-cohorts-nov-certification/en/headerimage/InfoQ-Nov-Cohorts-v3-1793013188536.jpg"/&gt;&lt;p&gt;A preview of three November InfoQ online certification cohorts covering production AI systems, retrieval and agent design, engineering team flow, AI roles, and measurement, facilitated by Adi Polak, Lan Chu, and Olimpiu Pop.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>AI Certification</category>
      <category>AI Engineering Certification</category>
      <category>InfoQ Certification Program</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 26 Oct 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/online-cohorts-nov-certification/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Machine+Learning-news</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-10-26T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/online-cohorts-nov-certification/en</dc:identifier>
    </item>
    <item>
      <title>PyTorch Conference 2026: Google and Meta Open-Source TorchTPU for Native PyTorch on TPUs</title>
      <link>https://www.infoq.com/news/2026/10/google-meta-torchtpu/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Machine+Learning-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/google-meta-torchtpu/en/headerimage/torchtpu-header-1792934272172.jpg"/&gt;&lt;p&gt;Google and Meta open-sourced TorchTPU, a native PyTorch backend for Google's TPUs, at PyTorch Conference North America 2026, and Meta said it plans to move larger LLM workloads onto TPUs with it. AWS released TorchNeuron for Trainium the same week, while developers questioned TPU availability and where vendor lock-in now sits.&lt;/p&gt; &lt;i&gt;By Andrew Hoblitzell&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Machine Learning</category>
      <category>Cloud</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sun, 25 Oct 2026 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/google-meta-torchtpu/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Machine+Learning-news</guid>
      <dc:creator>Andrew Hoblitzell</dc:creator>
      <dc:date>2026-10-25T18:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/google-meta-torchtpu/en</dc:identifier>
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