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    <title>Manufacturing on AI®️</title>
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    <description>Join us in exploring the world of academic research into AI for manufacturing. We curate the latest research papers released under Creative Commons, and convert them into engaging podcasts with Generative AI tool Notebook LM.</description>
    <copyright>© 2025 T-Systems Nederland</copyright>
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    <pubDate>Mon, 16 Dec 2024 17:31:06 +0100</pubDate>
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      <title>Manufacturing on AI®️</title>
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    <itunes:summary>Join us in exploring the world of academic research into AI for manufacturing. We curate the latest research papers released under Creative Commons, and convert them into engaging podcasts with Generative AI tool Notebook LM.</itunes:summary>
    <itunes:subtitle>Join us in exploring the world of academic research into AI for manufacturing.</itunes:subtitle>
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    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>Digital twins in asset lifecycles: are we there yet?</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>Digital twins in asset lifecycles: are we there yet?</itunes:title>
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        <![CDATA[<p>How well are digital twins doing in the industry now? An academic team with input from the Delft University of Technology, among other scientific institutions, interviewed practitioners. The results shows that there is still much to be gained from the design and rollout. Listen to its AI generated podcast twin here. Link to the paper: https://www.icevirtuallibrary.com/doi/pdf/10.1680/jmapl.23.00003</p>]]>
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        <![CDATA[<p>How well are digital twins doing in the industry now? An academic team with input from the Delft University of Technology, among other scientific institutions, interviewed practitioners. The results shows that there is still much to be gained from the design and rollout. Listen to its AI generated podcast twin here. Link to the paper: https://www.icevirtuallibrary.com/doi/pdf/10.1680/jmapl.23.00003</p>]]>
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      <pubDate>Mon, 16 Dec 2024 17:30:59 +0100</pubDate>
      <author>T-Systems Nederland</author>
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      <itunes:author>T-Systems Nederland</itunes:author>
      <itunes:duration>742</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>How well are digital twins doing in the industry now? An academic team with input from the Delft University of Technology, among other scientific institutions, interviewed practitioners. The results shows that there is still much to be gained from the design and rollout. Listen to its AI generated podcast twin here. Link to the paper: https://www.icevirtuallibrary.com/doi/pdf/10.1680/jmapl.23.00003</p>]]>
      </itunes:summary>
      <itunes:keywords>manufacturing, artificial intelligence, ai, factory, robotics</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>Continuous aircraft improvement with machine learning</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>Continuous aircraft improvement with machine learning</itunes:title>
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        <![CDATA[<p>Digital twins and deep learning can help us design aircrafts and track their lifecycle. A team existing of a TU Delft researcher describes in<a href="https://www.e-helvetica.nb.admin.ch/api/download/urn%3Anbn%3Ach%3Abel-5282372%3Adesigns-08-00029.pdf/designs-08-00029.pdf"> a paper </a>how to increase damage tolerance with real-time insights. Converted into a podcast with Notebook LM. </p>]]>
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      <content:encoded>
        <![CDATA[<p>Digital twins and deep learning can help us design aircrafts and track their lifecycle. A team existing of a TU Delft researcher describes in<a href="https://www.e-helvetica.nb.admin.ch/api/download/urn%3Anbn%3Ach%3Abel-5282372%3Adesigns-08-00029.pdf/designs-08-00029.pdf"> a paper </a>how to increase damage tolerance with real-time insights. Converted into a podcast with Notebook LM. </p>]]>
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      <pubDate>Wed, 20 Nov 2024 13:40:49 +0100</pubDate>
      <author>T-Systems Nederland</author>
      <enclosure url="https://media.transistor.fm/9e5002dd/337eba10.mp3" length="11793972" type="audio/mpeg"/>
      <itunes:author>T-Systems Nederland</itunes:author>
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        <![CDATA[<p>Digital twins and deep learning can help us design aircrafts and track their lifecycle. A team existing of a TU Delft researcher describes in<a href="https://www.e-helvetica.nb.admin.ch/api/download/urn%3Anbn%3Ach%3Abel-5282372%3Adesigns-08-00029.pdf/designs-08-00029.pdf"> a paper </a>how to increase damage tolerance with real-time insights. Converted into a podcast with Notebook LM. </p>]]>
      </itunes:summary>
      <itunes:keywords>manufacturing, artificial intelligence, ai, factory, robotics</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>A steady and strong ship propeller thanks to machine learning</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>A steady and strong ship propeller thanks to machine learning</itunes:title>
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        <![CDATA[<p>How do you design a robust propeller for seagoing vessels, which navigate under sometimes very difficult (weather) conditions? Researchers from universities such as the Delft University of Technology managed to improve the design method considerably with AI, as outlined in this<a href="https://www.scipedia.com/wd/images/a/a1/Coraddu_et_al_2023a_2001_non-Deterministic.pdf"> paper</a>.</p>]]>
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      <content:encoded>
        <![CDATA[<p>How do you design a robust propeller for seagoing vessels, which navigate under sometimes very difficult (weather) conditions? Researchers from universities such as the Delft University of Technology managed to improve the design method considerably with AI, as outlined in this<a href="https://www.scipedia.com/wd/images/a/a1/Coraddu_et_al_2023a_2001_non-Deterministic.pdf"> paper</a>.</p>]]>
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      <pubDate>Tue, 19 Nov 2024 13:54:57 +0100</pubDate>
      <author>T-Systems Nederland</author>
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      <itunes:duration>806</itunes:duration>
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        <![CDATA[<p>How do you design a robust propeller for seagoing vessels, which navigate under sometimes very difficult (weather) conditions? Researchers from universities such as the Delft University of Technology managed to improve the design method considerably with AI, as outlined in this<a href="https://www.scipedia.com/wd/images/a/a1/Coraddu_et_al_2023a_2001_non-Deterministic.pdf"> paper</a>.</p>]]>
      </itunes:summary>
      <itunes:keywords>manufacturing, artificial intelligence, ai, factory, robotics</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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      <title>An improved floating wind turbine as a result of AI</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>An improved floating wind turbine as a result of AI</itunes:title>
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        <![CDATA[<p>A team led by Baudino Bessone from the Delft University of Technology has succeeded in creating a better design method for the substructure of floating wind turbines. He replaced an expensive hydrodynamic analysis with an AI model. Tough if you have to read<a href="https://pure.tudelft.nl/ws/portalfiles/portal/212186174/Baudino_Bessone_2024_J._Phys._Conf._Ser._2767_062032.pdf"> the paper </a>, but simply pleasing to listen to with the help of Notebook LM.</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>A team led by Baudino Bessone from the Delft University of Technology has succeeded in creating a better design method for the substructure of floating wind turbines. He replaced an expensive hydrodynamic analysis with an AI model. Tough if you have to read<a href="https://pure.tudelft.nl/ws/portalfiles/portal/212186174/Baudino_Bessone_2024_J._Phys._Conf._Ser._2767_062032.pdf"> the paper </a>, but simply pleasing to listen to with the help of Notebook LM.</p>]]>
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      <pubDate>Tue, 19 Nov 2024 13:12:54 +0100</pubDate>
      <author>T-Systems Nederland</author>
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      <itunes:author>T-Systems Nederland</itunes:author>
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      <itunes:duration>731</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>A team led by Baudino Bessone from the Delft University of Technology has succeeded in creating a better design method for the substructure of floating wind turbines. He replaced an expensive hydrodynamic analysis with an AI model. Tough if you have to read<a href="https://pure.tudelft.nl/ws/portalfiles/portal/212186174/Baudino_Bessone_2024_J._Phys._Conf._Ser._2767_062032.pdf"> the paper </a>, but simply pleasing to listen to with the help of Notebook LM.</p>]]>
      </itunes:summary>
      <itunes:keywords>manufacturing, artificial intelligence, ai, factory, robotics</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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