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    <description>The podcast for uncommon weird Artificial Intelligence applications and news.</description>
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    <pubDate>Wed, 23 Jul 2025 14:35:40 +0000</pubDate>
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    <itunes:author>Adrian Spataru, Bohdan Andrusyak</itunes:author>
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    <itunes:summary>The podcast for uncommon weird Artificial Intelligence applications and news.</itunes:summary>
    <itunes:subtitle>The podcast for uncommon weird Artificial Intelligence applications and news..</itunes:subtitle>
    <itunes:keywords>data science, ai, artificial intelligence, casual, deep learning, machine learning, neural networks, news, technology, wierd</itunes:keywords>
    <itunes:owner>
      <itunes:name>Adrian Spataru</itunes:name>
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    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>Saving Elephants with AI</title>
      <itunes:episode>16</itunes:episode>
      <podcast:episode>16</podcast:episode>
      <itunes:title>Saving Elephants with AI</itunes:title>
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        <![CDATA[<p>Poaching is a multi-billion dollar illegal industry, and AI is being used to combat it. Techniques such as infrared cameras, game theory, sound analysis, reinforcement learning, drones, and 3D printers are being employed to identify and track animals, detect poachers, disrupt the poaching market, and preserve wildlife. Other solutions such as trap cameras and existing datasets are being used to help with the preservation of wildlife and stop poaching.</p><p>This episode was recorded 2 weeks before the war in Ukraine, some things might feel out of context/out of place.</p><p>Episode powered by <a href="https://cleanvoice.ai">https://cleanvoice.ai</a></p>]]>
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        <![CDATA[<p>Poaching is a multi-billion dollar illegal industry, and AI is being used to combat it. Techniques such as infrared cameras, game theory, sound analysis, reinforcement learning, drones, and 3D printers are being employed to identify and track animals, detect poachers, disrupt the poaching market, and preserve wildlife. Other solutions such as trap cameras and existing datasets are being used to help with the preservation of wildlife and stop poaching.</p><p>This episode was recorded 2 weeks before the war in Ukraine, some things might feel out of context/out of place.</p><p>Episode powered by <a href="https://cleanvoice.ai">https://cleanvoice.ai</a></p>]]>
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      <pubDate>Thu, 16 Mar 2023 14:29:45 +0000</pubDate>
      <author>Adrian Spataru, Bohdan Andrusyak</author>
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      <itunes:author>Adrian Spataru, Bohdan Andrusyak</itunes:author>
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      <itunes:duration>1445</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Poaching is a multi-billion dollar illegal industry, and AI is being used to combat it. Techniques such as infrared cameras, game theory, sound analysis, reinforcement learning, drones, and 3D printers are being employed to identify and track animals, detect poachers, disrupt the poaching market, and preserve wildlife. Other solutions such as trap cameras and existing datasets are being used to help with the preservation of wildlife and stop poaching.</p><p>This episode was recorded 2 weeks before the war in Ukraine, some things might feel out of context/out of place.</p><p>Episode powered by <a href="https://cleanvoice.ai">https://cleanvoice.ai</a></p>]]>
      </itunes:summary>
      <itunes:keywords>data science, ai, artificial intelligence, casual, deep learning, machine learning, neural networks, news, technology, wierd</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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    <item>
      <title>AI - Friend &amp; Companion</title>
      <itunes:episode>15</itunes:episode>
      <podcast:episode>15</podcast:episode>
      <itunes:title>AI - Friend &amp; Companion</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>Can AI be our Friend? In this episode, we talk how AI is used as a companion. We talk about the good, bad and ugly of AI from healthcare to personal development.</p><p> </p><p>References:</p><p><a href="https://arxiv.org/abs/2008.05382">https://arxiv.org/abs/2008.05382</a></p><p><a href="https://arxiv.org/abs/2110.07404">https://arxiv.org/abs/2110.07404</a></p><p><a href="https://arxiv.org/abs/2112.08261">https://arxiv.org/abs/2112.08261</a></p><p><a href="https://arxiv.org/abs/2112.04913">https://arxiv.org/abs/2112.04913</a></p><p><a href="https://replika.ai/">https://replika.ai/</a></p><p><a href="https://www.askui.com/">https://www.askui.com/</a></p><p> </p><p>Twitter Adrian <a href="https://twitter.com/adrian_spataru">https://twitter.com/adrian_spataru</a></p><p>Linkedin Adrain :  <a href="https://www.linkedin.com/in/spataru">https://www.linkedin.com/in/spataru</a></p><p>Linkedin Bohdan : <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p><p>This podcast is Powered by Cleanvoice ( <a href="https://cleanvoice.ai">https://cleanvoice.ai )</a></p>]]>
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      <content:encoded>
        <![CDATA[<p>Can AI be our Friend? In this episode, we talk how AI is used as a companion. We talk about the good, bad and ugly of AI from healthcare to personal development.</p><p> </p><p>References:</p><p><a href="https://arxiv.org/abs/2008.05382">https://arxiv.org/abs/2008.05382</a></p><p><a href="https://arxiv.org/abs/2110.07404">https://arxiv.org/abs/2110.07404</a></p><p><a href="https://arxiv.org/abs/2112.08261">https://arxiv.org/abs/2112.08261</a></p><p><a href="https://arxiv.org/abs/2112.04913">https://arxiv.org/abs/2112.04913</a></p><p><a href="https://replika.ai/">https://replika.ai/</a></p><p><a href="https://www.askui.com/">https://www.askui.com/</a></p><p> </p><p>Twitter Adrian <a href="https://twitter.com/adrian_spataru">https://twitter.com/adrian_spataru</a></p><p>Linkedin Adrain :  <a href="https://www.linkedin.com/in/spataru">https://www.linkedin.com/in/spataru</a></p><p>Linkedin Bohdan : <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p><p>This podcast is Powered by Cleanvoice ( <a href="https://cleanvoice.ai">https://cleanvoice.ai )</a></p>]]>
      </content:encoded>
      <pubDate>Fri, 24 Dec 2021 16:44:55 +0000</pubDate>
      <author>Adrian Spataru</author>
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      <itunes:author>Adrian Spataru</itunes:author>
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      <itunes:duration>1645</itunes:duration>
      <itunes:summary>Can AI be our Friend? In this episode, we talk how AI is used as a companion. We talk about the good, bad and ugly of AI from healthcare to personal development.</itunes:summary>
      <itunes:subtitle>Can AI be our Friend? In this episode, we talk how AI is used as a companion. We talk about the good, bad and ugly of AI from healthcare to personal development.</itunes:subtitle>
      <itunes:keywords>data science, ai, artificial intelligence, casual, deep learning, machine learning, neural networks, news, technology, wierd</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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    <item>
      <title>AI &amp; Modern Warfare</title>
      <itunes:episode>14</itunes:episode>
      <podcast:episode>14</podcast:episode>
      <itunes:title>AI &amp; Modern Warfare</itunes:title>
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        <![CDATA[<p>Over the last few years, military funding for artificial intelligence has increased steadily. In this podcast, we talk about current applications of AI in modern warfare, as well as the current state of affairs with AI in the military.</p><p> </p><p> </p><p>References:</p><p><a href="https://www.researchgate.net/publication/347631413_Artificial_Intelligence_Aided_Electronic_Warfare_Systems-Recent_Trends_and_Evolving_Applications">https://www.researchgate.net/publication/347631413_Artificial_Intelligence_Aided_Electronic_Warfare_Systems-Recent_Trends_and_Evolving_Applications</a></p><p><a href="https://www.rand.org/content/dam/rand/pubs/research_reports/RR3100/RR3139-1/RAND_RR3139-1.pdf">https://www.rand.org/content/dam/rand/pubs/research_reports/RR3100/RR3139-1/RAND_RR3139-1.pdf</a></p><p><a href="https://www.brookings.edu/techstream/applying-arms-control-frameworks-to-autonomous-weapons/">https://www.brookings.edu/techstream/applying-arms-control-frameworks-to-autonomous-weapons/</a></p><p> </p><p> </p><p> </p><p>Power by <a href="https://cleanvoice.ai">https://cleanvoice.ai</a></p><p> </p><p> </p><p>Twitter Adrian <a href="https://twitter.com/adrian_spataru">https://twitter.com/adrian_spataru</a></p><p>Linkedin Adrain :  <a href="https://www.linkedin.com/in/spataru">https://www.linkedin.com/in/spataru</a></p><p>Linkedin Bohdan : <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p>]]>
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      <content:encoded>
        <![CDATA[<p>Over the last few years, military funding for artificial intelligence has increased steadily. In this podcast, we talk about current applications of AI in modern warfare, as well as the current state of affairs with AI in the military.</p><p> </p><p> </p><p>References:</p><p><a href="https://www.researchgate.net/publication/347631413_Artificial_Intelligence_Aided_Electronic_Warfare_Systems-Recent_Trends_and_Evolving_Applications">https://www.researchgate.net/publication/347631413_Artificial_Intelligence_Aided_Electronic_Warfare_Systems-Recent_Trends_and_Evolving_Applications</a></p><p><a href="https://www.rand.org/content/dam/rand/pubs/research_reports/RR3100/RR3139-1/RAND_RR3139-1.pdf">https://www.rand.org/content/dam/rand/pubs/research_reports/RR3100/RR3139-1/RAND_RR3139-1.pdf</a></p><p><a href="https://www.brookings.edu/techstream/applying-arms-control-frameworks-to-autonomous-weapons/">https://www.brookings.edu/techstream/applying-arms-control-frameworks-to-autonomous-weapons/</a></p><p> </p><p> </p><p> </p><p>Power by <a href="https://cleanvoice.ai">https://cleanvoice.ai</a></p><p> </p><p> </p><p>Twitter Adrian <a href="https://twitter.com/adrian_spataru">https://twitter.com/adrian_spataru</a></p><p>Linkedin Adrain :  <a href="https://www.linkedin.com/in/spataru">https://www.linkedin.com/in/spataru</a></p><p>Linkedin Bohdan : <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p>]]>
      </content:encoded>
      <pubDate>Mon, 22 Nov 2021 16:56:23 +0000</pubDate>
      <author>Adrian Spataru</author>
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      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:image href="https://img.transistor.fm/uKuoAOXBvZ80jzmvCDhKUh7A2l5sQv_r4TzLnBWn-yc/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzkzOTEyMS8x/NjU3MTM5MDk0LWFy/dHdvcmsuanBn.jpg"/>
      <itunes:duration>2125</itunes:duration>
      <itunes:summary>Over the last few years, military funding for artificial intelligence has increased steadily. In this podcast, we talk about current applications of AI in modern warfare, as well as the current state of affairs with AI in the military.</itunes:summary>
      <itunes:subtitle>Over the last few years, military funding for artificial intelligence has increased steadily. In this podcast, we talk about current applications of AI in modern warfare, as well as the current state of affairs with AI in the military.</itunes:subtitle>
      <itunes:keywords>data science, ai, artificial intelligence, casual, deep learning, machine learning, neural networks, news, technology, wierd</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>AI &amp; Agriculture</title>
      <itunes:episode>13</itunes:episode>
      <podcast:episode>13</podcast:episode>
      <itunes:title>AI &amp; Agriculture</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <description>
        <![CDATA[<p>Milk? Tomatoes? In this episode, we talk how AI help us in agriculture. From seed generation to harvesting and more in this episode.</p><p> </p><p>Strawberry Picker:</p><p><a href="https://onlinelibrary.wiley.com/doi/full/10.1002/rob.21889">https://onlinelibrary.wiley.com/doi/full/10.1002/rob.21889</a></p><p>Survey on CV and Agriculture</p><p><a href="https://arxiv.org/pdf/2006.11391v1.pdf">https://arxiv.org/pdf/2006.11391v1.pdf</a></p><p>Landscape Vegetation </p><p><a href="https://arxiv.org/pdf/2005.03743v1.pdf">https://arxiv.org/pdf/2005.03743v1.pdf</a></p><p>Detecting weeds froms crops</p><p><a href="https://arxiv.org/pdf/2009.05750v1.pdf">https://arxiv.org/pdf/2009.05750v1.pdf</a></p><p>WeedNet</p><p><a href="https://arxiv.org/pdf/1709.03329v1.pdf">https://arxiv.org/pdf/1709.03329v1.pdf</a></p><p>Find new Corn Species: DeepCorn</p><p><a href="https://arxiv.org/pdf/2007.10521v2.pdf">https://arxiv.org/pdf/2007.10521v2.pdf</a></p><p>Startups</p><p><a href="https://smaxtec.com/en/">https://smaxtec.com/en/</a></p><p><a href="https://www.mindwaveai.com/industries/agriculture/">https://www.mindwaveai.com/industries/agriculture/</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Milk? Tomatoes? In this episode, we talk how AI help us in agriculture. From seed generation to harvesting and more in this episode.</p><p> </p><p>Strawberry Picker:</p><p><a href="https://onlinelibrary.wiley.com/doi/full/10.1002/rob.21889">https://onlinelibrary.wiley.com/doi/full/10.1002/rob.21889</a></p><p>Survey on CV and Agriculture</p><p><a href="https://arxiv.org/pdf/2006.11391v1.pdf">https://arxiv.org/pdf/2006.11391v1.pdf</a></p><p>Landscape Vegetation </p><p><a href="https://arxiv.org/pdf/2005.03743v1.pdf">https://arxiv.org/pdf/2005.03743v1.pdf</a></p><p>Detecting weeds froms crops</p><p><a href="https://arxiv.org/pdf/2009.05750v1.pdf">https://arxiv.org/pdf/2009.05750v1.pdf</a></p><p>WeedNet</p><p><a href="https://arxiv.org/pdf/1709.03329v1.pdf">https://arxiv.org/pdf/1709.03329v1.pdf</a></p><p>Find new Corn Species: DeepCorn</p><p><a href="https://arxiv.org/pdf/2007.10521v2.pdf">https://arxiv.org/pdf/2007.10521v2.pdf</a></p><p>Startups</p><p><a href="https://smaxtec.com/en/">https://smaxtec.com/en/</a></p><p><a href="https://www.mindwaveai.com/industries/agriculture/">https://www.mindwaveai.com/industries/agriculture/</a></p>]]>
      </content:encoded>
      <pubDate>Sat, 19 Jun 2021 17:37:49 +0000</pubDate>
      <author>Adrian Spataru</author>
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      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:image href="https://img.transistor.fm/ei8Ej69ndpBJ6u6pNTELJMuU25bbaYtQzJx0QBZhFvY/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzkzOTEyMC8x/NjU3MTM5MDkyLWFy/dHdvcmsuanBn.jpg"/>
      <itunes:duration>1416</itunes:duration>
      <itunes:summary>Milk? Tomatoes? In this episode, we talk how AI help us in agriculture. From seed generation to harvesting and more in this episode.</itunes:summary>
      <itunes:subtitle>Milk? Tomatoes? In this episode, we talk how AI help us in agriculture. From seed generation to harvesting and more in this episode.</itunes:subtitle>
      <itunes:keywords>seeds, ml, deep learning, agriculture, plants, artifcial intelligence, corn, machine learning, ai, nature</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>AI - Psychology &amp; Mental Health</title>
      <itunes:episode>12</itunes:episode>
      <podcast:episode>12</podcast:episode>
      <itunes:title>AI - Psychology &amp; Mental Health</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>How can AI help our mental health? Can it identify depression better than humans? What is the impact of current algorithm on our health? We answer these questions and more in this episode. </p><p>Great Ted talk on how to build embedding of psychiatrist session</p><p><a href="https://www.youtube.com/watch?v=ZkTvw3usMw4">https://www.youtube.com/watch?v=ZkTvw3usMw4</a></p><p>Papers</p><p><a href="https://journals.sagepub.com/doi/pdf/10.1177/0706743719828977">Overview of articles analysing chatbots for helping with mental health</a></p><p>Depression Detection for Social Media <a href="http://ceur-ws.org/Vol-2523/paper26.pdf">http://ceur-ws.org/Vol-2523/paper26.pdf</a></p><p>Face Detection Emotions (and detecting fake emotions)</p><p><a href="https://arxiv.org/pdf/2008.11353v1.pdf">https://arxiv.org/pdf/2008.11353v1.pdf</a></p><p><a href="https://arxiv.org/abs/2104.11612v1">https://arxiv.org/abs/2104.11612v1</a></p><p><a href="https://www.nature.com/articles/srep42656.pdf">Chatbot help to diagnose depression</a></p><p> </p><p>Adrian's Twitter: <a href="https://twitter.com/adrian_spataru">https://twitter.com/adrian_spataru</a></p><p>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p><p> </p><p>This podcast is power by <a>cleanvoice.ai</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>How can AI help our mental health? Can it identify depression better than humans? What is the impact of current algorithm on our health? We answer these questions and more in this episode. </p><p>Great Ted talk on how to build embedding of psychiatrist session</p><p><a href="https://www.youtube.com/watch?v=ZkTvw3usMw4">https://www.youtube.com/watch?v=ZkTvw3usMw4</a></p><p>Papers</p><p><a href="https://journals.sagepub.com/doi/pdf/10.1177/0706743719828977">Overview of articles analysing chatbots for helping with mental health</a></p><p>Depression Detection for Social Media <a href="http://ceur-ws.org/Vol-2523/paper26.pdf">http://ceur-ws.org/Vol-2523/paper26.pdf</a></p><p>Face Detection Emotions (and detecting fake emotions)</p><p><a href="https://arxiv.org/pdf/2008.11353v1.pdf">https://arxiv.org/pdf/2008.11353v1.pdf</a></p><p><a href="https://arxiv.org/abs/2104.11612v1">https://arxiv.org/abs/2104.11612v1</a></p><p><a href="https://www.nature.com/articles/srep42656.pdf">Chatbot help to diagnose depression</a></p><p> </p><p>Adrian's Twitter: <a href="https://twitter.com/adrian_spataru">https://twitter.com/adrian_spataru</a></p><p>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p><p> </p><p>This podcast is power by <a>cleanvoice.ai</a></p>]]>
      </content:encoded>
      <pubDate>Sat, 05 Jun 2021 19:28:02 +0000</pubDate>
      <author>Adrian Spataru</author>
      <enclosure url="https://media.transistor.fm/5d9da29c/616a0ca0.mp3" length="22022903" type="audio/mpeg"/>
      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:image href="https://img.transistor.fm/337KZ4tWqRpSZpSKGOZ-DiODRw7vXJG44cXrOL9OLqM/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzkzOTExOS8x/NjU3MTM5MDkxLWFy/dHdvcmsuanBn.jpg"/>
      <itunes:duration>1376</itunes:duration>
      <itunes:summary>How can AI help our mental health? Can it identify depression better than humans? What is the impact of current algorithm on our health? We answer these questions and more in this episode.</itunes:summary>
      <itunes:subtitle>How can AI help our mental health? Can it identify depression better than humans? What is the impact of current algorithm on our health? We answer these questions and more in this episode.</itunes:subtitle>
      <itunes:keywords>ml, deep learning, mental health, health, artificial intelligence, depression, psychology, covid, machine learning, ai</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>AI - The Meme Lord</title>
      <itunes:episode>11</itunes:episode>
      <podcast:episode>11</podcast:episode>
      <itunes:title>AI - The Meme Lord</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">3caa77e3-d703-4a78-bf39-0b1ac8f3d33f</guid>
      <link>https://share.transistor.fm/s/2a050959</link>
      <description>
        <![CDATA[<p>Can AI create memes? Be funny? In this episode, we explore the dank world of AI generated content.</p><p> </p><p>GPT-3 Actually useful for explaining jokes.</p><p><a href="https://medium.com/ml-everything/using-gpt-3-to-explain-jokes-2001a5aefb68">https://medium.com/ml-everything/using-gpt-3-to-explain-jokes-2001a5aefb68</a></p><p>Actually Jokes</p><p><a href="https://www.gwern.net/GPT-3#navy-seal-copypasta">https://www.gwern.net/GPT-3#navy-seal-copypasta</a></p><p>Papers</p><p><a href="https://github.com/schesa/ai-memes">https://github.com/schesa/ai-memes</a></p><p><a href="https://ai.facebook.com/blog/hateful-memes-challenge-and-data-set/">https://ai.facebook.com/blog/hateful-memes-challenge-and-data-set/</a></p><p><a href="https://arxiv.org/pdf/1806.04510.pdf">https://arxiv.org/pdf/1806.04510.pdf</a></p><p>Questions?</p><p>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Can AI create memes? Be funny? In this episode, we explore the dank world of AI generated content.</p><p> </p><p>GPT-3 Actually useful for explaining jokes.</p><p><a href="https://medium.com/ml-everything/using-gpt-3-to-explain-jokes-2001a5aefb68">https://medium.com/ml-everything/using-gpt-3-to-explain-jokes-2001a5aefb68</a></p><p>Actually Jokes</p><p><a href="https://www.gwern.net/GPT-3#navy-seal-copypasta">https://www.gwern.net/GPT-3#navy-seal-copypasta</a></p><p>Papers</p><p><a href="https://github.com/schesa/ai-memes">https://github.com/schesa/ai-memes</a></p><p><a href="https://ai.facebook.com/blog/hateful-memes-challenge-and-data-set/">https://ai.facebook.com/blog/hateful-memes-challenge-and-data-set/</a></p><p><a href="https://arxiv.org/pdf/1806.04510.pdf">https://arxiv.org/pdf/1806.04510.pdf</a></p><p>Questions?</p><p>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p>]]>
      </content:encoded>
      <pubDate>Sat, 22 May 2021 18:16:06 +0000</pubDate>
      <author>Adrian Spataru</author>
      <enclosure url="https://media.transistor.fm/2a050959/823503b5.mp3" length="15869084" type="audio/mpeg"/>
      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:image href="https://img.transistor.fm/w852965-lV9wvh47tBj6bcIdM1MD-dN9algIZqJXVEM/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzkzOTExOC8x/NjU3MTM5MDg5LWFy/dHdvcmsuanBn.jpg"/>
      <itunes:duration>991</itunes:duration>
      <itunes:summary>Can AI create memes? Be funny? In this episode, we explore the dank world of AI generated content.</itunes:summary>
      <itunes:subtitle>Can AI create memes? Be funny? In this episode, we explore the dank world of AI generated content.</itunes:subtitle>
      <itunes:keywords>data science, ml, deep learning, jokes, funny, blockchain, dank, content, artifcial intelligence, neural networks, memes, mathematics, dogecoin, machine learning, meme, ai</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>AI &amp; Regulation</title>
      <itunes:episode>10</itunes:episode>
      <podcast:episode>10</podcast:episode>
      <itunes:title>AI &amp; Regulation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/fb778be8</link>
      <description>
        <![CDATA[<p>Should AI be left alone by legal scrutiny? In this episode, we talk about the regulatory frameworks in the USA &amp; EU regarding Artificial Intelligence, what technologies are banned and how the future (from the legal perspective) will look like.</p><p>References:</p><p>EU AI Regulations: <a href="https://ec.europa.eu/commission/presscorner/detail/en/ip_21_1682">https://ec.europa.eu/commission/presscorner/detail/en/ip_21_1682</a><br>USA AI Regulations:  <a href="https://www.bakermckenzie.com/-/media/files/people/chae-yoon/rail-us-ai-regulation-guide.pdf">https://www.bakermckenzie.com/-/media/files/people/chae-yoon/rail-us-ai-regulation-guide.pdf</a></p><p> </p><p> </p><p>Questions?</p><p>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p><p> </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Should AI be left alone by legal scrutiny? In this episode, we talk about the regulatory frameworks in the USA &amp; EU regarding Artificial Intelligence, what technologies are banned and how the future (from the legal perspective) will look like.</p><p>References:</p><p>EU AI Regulations: <a href="https://ec.europa.eu/commission/presscorner/detail/en/ip_21_1682">https://ec.europa.eu/commission/presscorner/detail/en/ip_21_1682</a><br>USA AI Regulations:  <a href="https://www.bakermckenzie.com/-/media/files/people/chae-yoon/rail-us-ai-regulation-guide.pdf">https://www.bakermckenzie.com/-/media/files/people/chae-yoon/rail-us-ai-regulation-guide.pdf</a></p><p> </p><p> </p><p>Questions?</p><p>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p><p> </p>]]>
      </content:encoded>
      <pubDate>Sat, 08 May 2021 16:04:20 +0000</pubDate>
      <author>Adrian Spataru</author>
      <enclosure url="https://media.transistor.fm/fb778be8/8f035b5d.mp3" length="18730367" type="audio/mpeg"/>
      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:image href="https://img.transistor.fm/XWxjBTQJ2U8oGDxeSc-KSnBb7Do8i27fnDCAsu5UVy4/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzkzOTExNy8x/NjU3MTM5MDg3LWFy/dHdvcmsuanBn.jpg"/>
      <itunes:duration>1170</itunes:duration>
      <itunes:summary>Should AI be left alone by legal scrutiny? In this episode, we talk about the regulatory frameworks in the USA &amp;amp; EU regarding Artificial Intelligence, what technologies are banned and how the future (from the legal perspective) will look like.</itunes:summary>
      <itunes:subtitle>Should AI be left alone by legal scrutiny? In this episode, we talk about the regulatory frameworks in the USA &amp;amp; EU regarding Artificial Intelligence, what technologies are banned and how the future (from the legal perspective) will look like.</itunes:subtitle>
      <itunes:keywords>regulations, usa, artifcial intelligence, goverment, robots, laws, standards, eu, machine learning, ai</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>AI - The Politician of the future</title>
      <itunes:episode>9</itunes:episode>
      <podcast:episode>9</podcast:episode>
      <itunes:title>AI - The Politician of the future</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">be0c1bd4-0fe4-4a39-bfda-519e223effca</guid>
      <link>https://share.transistor.fm/s/400fe6a1</link>
      <description>
        <![CDATA[<p>Can AI lead our country? In this episode, we explore how AI is helping politicians getting elected, create policies and make our governments more efficient.</p><p> </p><p><strong>References</strong></p><p>The AI Economist:Improving Equality and Productivity with AI-Driven Tax Policies<br><a href="https://arxiv.org/pdf/2004.13332.pdf">https://arxiv.org/pdf/2004.13332.pdf</a></p><p>Examples of  data-driven policies<br><a href="https://www.liberalforum.eu/wp-content/uploads/2019/11/PUBLICATION_AI-in-e-governance.pdf">https://www.liberalforum.eu/wp-content/uploads/2019/11/PUBLICATION_AI-in-e-governance.pdf</a></p><p>Microsoft Report on AI and the public sector<br><a href="https://info.microsoft.com/rs/157-GQE-382/images/EN-CNTNT-eBook-artificial-SRGCM3835.pdf">https://info.microsoft.com/rs/157-GQE-382/images/EN-CNTNT-eBook-artificial-SRGCM3835.pdf</a></p><p>Cases of AI Politicians<br><a href="https://en.wikipedia.org/wiki/Virtual_politician">https://en.wikipedia.org/wiki/Virtual_politician</a></p><p>How AI is perceived in policy making?<br><a href="https://www.weforum.org/agenda/2019/03/a-surprising-number-of-people-trust-ai-to-make-better-policy-decisions-than-politicians">https://www.weforum.org/agenda/2019/03/a-surprising-number-of-people-trust-ai-to-make-better-policy-decisions-than-politicians</a></p><p>AI Policy Making by EU<br><a href="https://ec.europa.eu/jrc/communities/sites/jrccties/files/06_berg.pdf">https://ec.europa.eu/jrc/communities/sites/jrccties/files/06_berg.pdf</a></p><p> </p><p> </p><p>Questions?</p><p>Adrian Spataru Twitter: <a href="https://twitter.com/adrian_spataru">https://twitter.com/adrian_spataru</a><br>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Can AI lead our country? In this episode, we explore how AI is helping politicians getting elected, create policies and make our governments more efficient.</p><p> </p><p><strong>References</strong></p><p>The AI Economist:Improving Equality and Productivity with AI-Driven Tax Policies<br><a href="https://arxiv.org/pdf/2004.13332.pdf">https://arxiv.org/pdf/2004.13332.pdf</a></p><p>Examples of  data-driven policies<br><a href="https://www.liberalforum.eu/wp-content/uploads/2019/11/PUBLICATION_AI-in-e-governance.pdf">https://www.liberalforum.eu/wp-content/uploads/2019/11/PUBLICATION_AI-in-e-governance.pdf</a></p><p>Microsoft Report on AI and the public sector<br><a href="https://info.microsoft.com/rs/157-GQE-382/images/EN-CNTNT-eBook-artificial-SRGCM3835.pdf">https://info.microsoft.com/rs/157-GQE-382/images/EN-CNTNT-eBook-artificial-SRGCM3835.pdf</a></p><p>Cases of AI Politicians<br><a href="https://en.wikipedia.org/wiki/Virtual_politician">https://en.wikipedia.org/wiki/Virtual_politician</a></p><p>How AI is perceived in policy making?<br><a href="https://www.weforum.org/agenda/2019/03/a-surprising-number-of-people-trust-ai-to-make-better-policy-decisions-than-politicians">https://www.weforum.org/agenda/2019/03/a-surprising-number-of-people-trust-ai-to-make-better-policy-decisions-than-politicians</a></p><p>AI Policy Making by EU<br><a href="https://ec.europa.eu/jrc/communities/sites/jrccties/files/06_berg.pdf">https://ec.europa.eu/jrc/communities/sites/jrccties/files/06_berg.pdf</a></p><p> </p><p> </p><p>Questions?</p><p>Adrian Spataru Twitter: <a href="https://twitter.com/adrian_spataru">https://twitter.com/adrian_spataru</a><br>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p>]]>
      </content:encoded>
      <pubDate>Tue, 20 Apr 2021 14:24:12 +0000</pubDate>
      <author>Adrian Spataru</author>
      <enclosure url="https://media.transistor.fm/400fe6a1/78460248.mp3" length="25346452" type="audio/mpeg"/>
      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:image href="https://img.transistor.fm/KzBPQzpRofqGHp8eyS-xmphZyyWKPQWDonoTXi3bjww/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzkzOTExNi8x/NjU3MTM5MDg1LWFy/dHdvcmsuanBn.jpg"/>
      <itunes:duration>1584</itunes:duration>
      <itunes:summary>Can AI lead our country? In this episode, we explore how AI is helping politicians getting elected, create policies and make our governments more efficient.</itunes:summary>
      <itunes:subtitle>Can AI lead our country? In this episode, we explore how AI is helping politicians getting elected, create policies and make our governments more efficient.</itunes:subtitle>
      <itunes:keywords>ml, deep learning, policies, governments, usa, politician, artifcial intelligence, neural networks, policy making, goverment, laws, politics, eu, machine learning, tax, ai</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>AI in Cooking</title>
      <itunes:episode>8</itunes:episode>
      <podcast:episode>8</podcast:episode>
      <itunes:title>AI in Cooking</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">10fad03b-aba5-4c63-8106-95cd302e619a</guid>
      <link>https://share.transistor.fm/s/32641243</link>
      <description>
        <![CDATA[<p>What are we eating today? A questions which we ask our self everyday. What if AI can help us answer this questions. We will explore cooking robots, nutrition detection and more.</p><p><b>References</b></p><p>Samsung Robot Chef -<a> https://www.techradar.com/news/samsungs-bot-chef-made-me-a-salad-at-ces-2020-and-i-ate-it</a><br>Towards Automatic Nutritional Understanding of Generic Food - <a href="https://arxiv.org/abs/2103.03375">https://arxiv.org/abs/2103.03375</a><br>Formation of Social Ties Influences Food Choice - <a href="https://arxiv.org/abs/2102.08755">https://arxiv.org/abs/2102.08755</a><br>Uncovering the nutritional landscape of food - <a href="https://arxiv.org/abs/1408.3600">https://arxiv.org/abs/1408.3600</a></p><p><b>Questions?</b></p><p>Adrian Spataru Twitter: <a href="https://twitter.com/adrian_spataru">https://twitter.com/adrian_spataru</a><br>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p><p> </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>What are we eating today? A questions which we ask our self everyday. What if AI can help us answer this questions. We will explore cooking robots, nutrition detection and more.</p><p><b>References</b></p><p>Samsung Robot Chef -<a> https://www.techradar.com/news/samsungs-bot-chef-made-me-a-salad-at-ces-2020-and-i-ate-it</a><br>Towards Automatic Nutritional Understanding of Generic Food - <a href="https://arxiv.org/abs/2103.03375">https://arxiv.org/abs/2103.03375</a><br>Formation of Social Ties Influences Food Choice - <a href="https://arxiv.org/abs/2102.08755">https://arxiv.org/abs/2102.08755</a><br>Uncovering the nutritional landscape of food - <a href="https://arxiv.org/abs/1408.3600">https://arxiv.org/abs/1408.3600</a></p><p><b>Questions?</b></p><p>Adrian Spataru Twitter: <a href="https://twitter.com/adrian_spataru">https://twitter.com/adrian_spataru</a><br>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p><p> </p>]]>
      </content:encoded>
      <pubDate>Sun, 04 Apr 2021 18:47:30 +0000</pubDate>
      <author>Adrian Spataru, Bohdan Andrusyak</author>
      <enclosure url="https://media.transistor.fm/32641243/6a97d314.mp3" length="24172314" type="audio/mpeg"/>
      <itunes:author>Adrian Spataru, Bohdan Andrusyak</itunes:author>
      <itunes:image href="https://img.transistor.fm/hm74m7SY4rTF5Ro4I0PS8_b_qW96dMkQS94X1GEofis/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzkzOTExNS8x/NjU3MTM5MDg0LWFy/dHdvcmsuanBn.jpg"/>
      <itunes:duration>1510</itunes:duration>
      <itunes:summary>What are we eating today? A questions which we ask our self everyday. What if AI can help us answer this questions. We will explore cooking robots, nutrition detection and more.</itunes:summary>
      <itunes:subtitle>What are we eating today? A questions which we ask our self everyday. What if AI can help us answer this questions. We will explore cooking robots, nutrition detection and more.</itunes:subtitle>
      <itunes:keywords>data science, ml, deep learning, cooking, dinner, artifcial intelligence, computer vision, robots, dish, lunch, food, machine learning, ai</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
    </item>
    <item>
      <title>AI - The Criminal of the Future</title>
      <itunes:episode>7</itunes:episode>
      <podcast:episode>7</podcast:episode>
      <itunes:title>AI - The Criminal of the Future</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">53aa2fef-d7d0-4126-90aa-6f5e0b25d718</guid>
      <link>https://share.transistor.fm/s/c2eaa940</link>
      <description>
        <![CDATA[<p>AI is a just a tool. It can be used for good or evil. Today, we will talk about the later and the different ways criminals are using AI for profit.</p><p><b>References</b></p><p><a href="https://www.europol.europa.eu/sites/default/files/documents/malicious_uses_and_abuses_of_artificial_intelligence_europol.pdf">https://www.europol.europa.eu/sites/default/files/documents/malicious_uses_and_abuses_of_artificial_intelligence_europol.pdf</a></p><p><a href="https://crimesciencejournal.biomedcentral.com/track/pdf/10.1186/s40163-020-00123-8.pdf">https://crimesciencejournal.biomedcentral.com/track/pdf/10.1186/s40163-020-00123-8.pdf</a></p><p><b>Questions?</b></p><p>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>AI is a just a tool. It can be used for good or evil. Today, we will talk about the later and the different ways criminals are using AI for profit.</p><p><b>References</b></p><p><a href="https://www.europol.europa.eu/sites/default/files/documents/malicious_uses_and_abuses_of_artificial_intelligence_europol.pdf">https://www.europol.europa.eu/sites/default/files/documents/malicious_uses_and_abuses_of_artificial_intelligence_europol.pdf</a></p><p><a href="https://crimesciencejournal.biomedcentral.com/track/pdf/10.1186/s40163-020-00123-8.pdf">https://crimesciencejournal.biomedcentral.com/track/pdf/10.1186/s40163-020-00123-8.pdf</a></p><p><b>Questions?</b></p><p>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p>]]>
      </content:encoded>
      <pubDate>Sun, 14 Mar 2021 20:58:21 +0000</pubDate>
      <author>Adrian Spataru</author>
      <enclosure url="https://media.transistor.fm/c2eaa940/416e7614.mp3" length="26142643" type="audio/mpeg"/>
      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:image href="https://img.transistor.fm/kw8HEEI_9b7dGdlW5T95NHvT9gXyvU9RJeXBCt9Tim4/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzkzOTExNC8x/NjU3MTM5MDgyLWFy/dHdvcmsuanBn.jpg"/>
      <itunes:duration>1633</itunes:duration>
      <itunes:summary>AI is a just a tool. It can be used for good or evil. Today, we will talk about the later and the different ways criminals are using AI for profit.</itunes:summary>
      <itunes:subtitle>AI is a just a tool. It can be used for good or evil. Today, we will talk about the later and the different ways criminals are using AI for profit.</itunes:subtitle>
      <itunes:keywords>europol, technology, security, threat, ml, deep learning, artifcial intelligence, criminal, neural networks, interpol, mafia, police, crime, machine learning, ai</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
    </item>
    <item>
      <title>AI in Fashion &amp; Clothing</title>
      <itunes:episode>6</itunes:episode>
      <podcast:episode>6</podcast:episode>
      <itunes:title>AI in Fashion &amp; Clothing</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">4e4fc9af-4ad0-4bda-b8a2-bdca8306acd7</guid>
      <link>https://share.transistor.fm/s/f9926903</link>
      <description>
        <![CDATA[<p>From designing clothes to selling them online. We talk how AI is currently changing the Fashion Industry &amp; the ethical implications.</p><p>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p><p><b>References</b></p><p><strong>Startups</strong></p><p><a href="https://www.reactivereality.com/">https://www.reactivereality.com/</a></p><p><a href="https://www.detego.com/">https://www.detego.com/</a></p><p><a href="https://datagrid.co.jp/en/">https://datagrid.co.jp/en/</a></p><p><a href="www.holition.com">www.holition.com</a></p><p><a href="www.intelistyle.com">www.intelistyle.com</a></p><p><a href="www.snap.vision">www.snap.vision</a></p><p><a href="www.genostyle.com">www.genostyle.com</a></p><p><a href="https://www.stitchfix.com/">https://www.stitchfix.com/</a></p><p><a href="https://www.zalando.at/">https://www.zalando.at/</a></p><p> </p><p><strong>Papers</strong></p><p><a href="https://arxiv.org/pdf/2102.03503.pdf">https://arxiv.org/pdf/2102.03503.pdf</a></p><p><a href="https://arxiv.org/pdf/2102.11263.pdf">https://arxiv.org/pdf/2102.11263.pdf</a></p><p><a href="https://arxiv.org/pdf/2011.09663v1.pdf">https://arxiv.org/pdf/2011.09663v1.pdf</a></p><p><a href="https://arxiv.org/pdf/2008.11662v2.pdf">https://arxiv.org/pdf/2008.11662v2.pdf</a></p><p><a href="https://arxiv.org/pdf/2003.13988v2.pdf">https://arxiv.org/pdf/2003.13988v2.pdf</a></p><p><a href="https://arxiv.org/pdf/2102.04727v1.pdf">https://arxiv.org/pdf/2102.04727v1.pdf</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>From designing clothes to selling them online. We talk how AI is currently changing the Fashion Industry &amp; the ethical implications.</p><p>Adrian Spataru Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a><br>Bohdan Andrusyak Linkedin: <a href="https://www.linkedin.com/in/bandrusyak/">https://www.linkedin.com/in/bandrusyak/</a></p><p><b>References</b></p><p><strong>Startups</strong></p><p><a href="https://www.reactivereality.com/">https://www.reactivereality.com/</a></p><p><a href="https://www.detego.com/">https://www.detego.com/</a></p><p><a href="https://datagrid.co.jp/en/">https://datagrid.co.jp/en/</a></p><p><a href="www.holition.com">www.holition.com</a></p><p><a href="www.intelistyle.com">www.intelistyle.com</a></p><p><a href="www.snap.vision">www.snap.vision</a></p><p><a href="www.genostyle.com">www.genostyle.com</a></p><p><a href="https://www.stitchfix.com/">https://www.stitchfix.com/</a></p><p><a href="https://www.zalando.at/">https://www.zalando.at/</a></p><p> </p><p><strong>Papers</strong></p><p><a href="https://arxiv.org/pdf/2102.03503.pdf">https://arxiv.org/pdf/2102.03503.pdf</a></p><p><a href="https://arxiv.org/pdf/2102.11263.pdf">https://arxiv.org/pdf/2102.11263.pdf</a></p><p><a href="https://arxiv.org/pdf/2011.09663v1.pdf">https://arxiv.org/pdf/2011.09663v1.pdf</a></p><p><a href="https://arxiv.org/pdf/2008.11662v2.pdf">https://arxiv.org/pdf/2008.11662v2.pdf</a></p><p><a href="https://arxiv.org/pdf/2003.13988v2.pdf">https://arxiv.org/pdf/2003.13988v2.pdf</a></p><p><a href="https://arxiv.org/pdf/2102.04727v1.pdf">https://arxiv.org/pdf/2102.04727v1.pdf</a></p>]]>
      </content:encoded>
      <pubDate>Sat, 27 Feb 2021 19:10:11 +0000</pubDate>
      <author>Adrian Spataru</author>
      <enclosure url="https://media.transistor.fm/f9926903/e4c5ddb8.mp3" length="26902031" type="audio/mpeg"/>
      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:image href="https://img.transistor.fm/o89bDYMpPxRstzYYTY0y6-GMzqmDYpl__-fee9nOhBM/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzkzOTExMy8x/NjU3MTM5MDgwLWFy/dHdvcmsuanBn.jpg"/>
      <itunes:duration>1681</itunes:duration>
      <itunes:summary>From designing clothes to selling them online. We talk how AI is currently changing the Fashion Industry &amp;amp; the ethical implications.</itunes:summary>
      <itunes:subtitle>From designing clothes to selling them online. We talk how AI is currently changing the Fashion Industry &amp;amp; the ethical implications.</itunes:subtitle>
      <itunes:keywords>data science, ml, deep learning, instagram, clothing, model, fashion, artificial intelligence, gan, machine learning, science, ai, data</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
    </item>
    <item>
      <title>AI in Teaching &amp; Learning</title>
      <itunes:episode>5</itunes:episode>
      <podcast:episode>5</podcast:episode>
      <itunes:title>AI in Teaching &amp; Learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/cb0e7188</link>
      <description>
        <![CDATA[<p><b>References</b></p><p>Procrastinating Students: <a href="https://arxiv.org/abs/2102.00089">https://arxiv.org/abs/2102.00089</a></p><p>Evaluating Teachers: <a href="https://arxiv.org/abs/2012.01633">https://arxiv.org/abs/2012.01633</a></p><p>Video Summarization of online classes: <a href="https://arxiv.org/abs/2101.06328">https://arxiv.org/abs/2101.06328</a></p><p>Knowledge tracing and performance prediction <a href="https://arxiv.org/abs/2012.12218">https://arxiv.org/abs/2012.12218</a></p><p>Improving performance of students: <a href="https://arxiv.org/abs/2012.01187">https://arxiv.org/abs/2012.01187</a></p><p>Do online courses provide good education <a href="https://arxiv.org/abs/2007.06994">https://arxiv.org/abs/2007.06994</a></p><p>Gamification and Education: <a href="https://arxiv.org/abs/2008.05473">https://arxiv.org/abs/2008.05473</a></p><p>Our Data Science Course: <a href="https://www.mlgraz.at/course">https://www.mlgraz.at/course</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><b>References</b></p><p>Procrastinating Students: <a href="https://arxiv.org/abs/2102.00089">https://arxiv.org/abs/2102.00089</a></p><p>Evaluating Teachers: <a href="https://arxiv.org/abs/2012.01633">https://arxiv.org/abs/2012.01633</a></p><p>Video Summarization of online classes: <a href="https://arxiv.org/abs/2101.06328">https://arxiv.org/abs/2101.06328</a></p><p>Knowledge tracing and performance prediction <a href="https://arxiv.org/abs/2012.12218">https://arxiv.org/abs/2012.12218</a></p><p>Improving performance of students: <a href="https://arxiv.org/abs/2012.01187">https://arxiv.org/abs/2012.01187</a></p><p>Do online courses provide good education <a href="https://arxiv.org/abs/2007.06994">https://arxiv.org/abs/2007.06994</a></p><p>Gamification and Education: <a href="https://arxiv.org/abs/2008.05473">https://arxiv.org/abs/2008.05473</a></p><p>Our Data Science Course: <a href="https://www.mlgraz.at/course">https://www.mlgraz.at/course</a></p>]]>
      </content:encoded>
      <pubDate>Fri, 12 Feb 2021 22:29:15 +0000</pubDate>
      <author>Adrian Spataru</author>
      <enclosure url="https://media.transistor.fm/cb0e7188/55cfab3d.mp3" length="21926294" type="audio/mpeg"/>
      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:image href="https://img.transistor.fm/fRr-OBbaVX84Uo6KD8YrF0_EfBXqgnkrOvz5H-WIHr4/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzkzOTExMi8x/NjU3MTM5MDc2LWFy/dHdvcmsuanBn.jpg"/>
      <itunes:duration>1500</itunes:duration>
      <itunes:summary>Learning new ideas in school can be difficult. Can AI help? In this episode, we discuss, how we can use AI to improve our education. We talk about  automatic video summaries, AI driven policies and more.</itunes:summary>
      <itunes:subtitle>Learning new ideas in school can be difficult. Can AI help? In this episode, we discuss, how we can use AI to improve our education. We talk about  automatic video summaries, AI driven policies and more.</itunes:subtitle>
      <itunes:keywords>ml, analytics, deep learning, education, learning, university, artificial intelligence, elearning, machine learning, teaching, ai</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
    </item>
    <item>
      <title>AI in Football &amp; Sports + Interview with Strykerlabs</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>AI in Football &amp; Sports + Interview with Strykerlabs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">df3a2194-08fe-4ecb-bd45-9b93eb995215</guid>
      <link>https://share.transistor.fm/s/d798ae61</link>
      <description>
        <![CDATA[<p>#References</p><ul><li>https://strykerlabs.io/</li><li>What AI can do for Football, and What Football can do for AI - Liverpool Research (enough for this podcast..quite dense) <ul><li><a href="https://arxiv.org/pdf/2011.09192v1.pdf">https://arxiv.org/pdf/2011.09192v1.pdf</a></li></ul></li><li>Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning<ul><li><a href="https://arxiv.org/abs/2101.05388v1">https://arxiv.org/abs/2101.05388v1</a></li></ul></li><li>TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications<ul><li><a href="https://arxiv.org/abs/1907.03698v1">https://arxiv.org/abs/1907.03698v1</a></li></ul></li><li>SoccerNet-v2 : A Dataset and Benchmarks for Holistic Understanding ofBroadcast Soccer Videos<ul><li><a href="https://arxiv.org/pdf/2011.13367v1.pdf">https://arxiv.org/pdf/2011.13367v1.pdf</a></li></ul></li><li><a href="https://techcrunch.com/2021/01/06/veo-raises-25m-for-ai-based-cameras-that-record-and-analyze-football-and-other-team-sports/">https://techcrunch.com/2021/01/06/veo-raises-25m-for-ai-based-cameras-that-record-and-analyze-football-and-other-team-sports/</a></li><li><a href="https://www.stancebeam.com/">https://www.stancebeam.com/</a></li><li><a href="https://edisn.ai/">https://edisn.ai/</a></li><li><a href="https://www.fullvenue.ai/">https://www.fullvenue.ai/</a></li><li><a href="https://iqoniq.com/">https://iqoniq.com/</a></li></ul><p>#Social Media</p><ul><li>Adrian Spataru - https://www.linkedin.com/in/spataru/</li><li>Bohdan Andrusyak - https://www.linkedin.com/in/bandrusyak/</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>#References</p><ul><li>https://strykerlabs.io/</li><li>What AI can do for Football, and What Football can do for AI - Liverpool Research (enough for this podcast..quite dense) <ul><li><a href="https://arxiv.org/pdf/2011.09192v1.pdf">https://arxiv.org/pdf/2011.09192v1.pdf</a></li></ul></li><li>Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning<ul><li><a href="https://arxiv.org/abs/2101.05388v1">https://arxiv.org/abs/2101.05388v1</a></li></ul></li><li>TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications<ul><li><a href="https://arxiv.org/abs/1907.03698v1">https://arxiv.org/abs/1907.03698v1</a></li></ul></li><li>SoccerNet-v2 : A Dataset and Benchmarks for Holistic Understanding ofBroadcast Soccer Videos<ul><li><a href="https://arxiv.org/pdf/2011.13367v1.pdf">https://arxiv.org/pdf/2011.13367v1.pdf</a></li></ul></li><li><a href="https://techcrunch.com/2021/01/06/veo-raises-25m-for-ai-based-cameras-that-record-and-analyze-football-and-other-team-sports/">https://techcrunch.com/2021/01/06/veo-raises-25m-for-ai-based-cameras-that-record-and-analyze-football-and-other-team-sports/</a></li><li><a href="https://www.stancebeam.com/">https://www.stancebeam.com/</a></li><li><a href="https://edisn.ai/">https://edisn.ai/</a></li><li><a href="https://www.fullvenue.ai/">https://www.fullvenue.ai/</a></li><li><a href="https://iqoniq.com/">https://iqoniq.com/</a></li></ul><p>#Social Media</p><ul><li>Adrian Spataru - https://www.linkedin.com/in/spataru/</li><li>Bohdan Andrusyak - https://www.linkedin.com/in/bandrusyak/</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 01 Feb 2021 13:23:59 +0000</pubDate>
      <author>Adrian Spataru</author>
      <enclosure url="https://media.transistor.fm/d798ae61/58319524.mp3" length="25028621" type="audio/mpeg"/>
      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:image href="https://img.transistor.fm/u9QvjO_fAVo7MLgyDNhi8y7BJg6H0JpkO6ZGVbBuIxM/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lcGlz/b2RlLzkzOTExMS8x/NjU3MTM5MDc0LWFy/dHdvcmsuanBn.jpg"/>
      <itunes:duration>1564</itunes:duration>
      <itunes:summary>From betting to player health, Machine Learning is changing how sport teams work. We will discuss the in's and out's of the Industry in the context of AI. Finally, we have a interview with Strykerlabs. A startup which is changing how football teams train.</itunes:summary>
      <itunes:subtitle>From betting to player health, Machine Learning is changing how sport teams work. We will discuss the in's and out's of the Industry in the context of AI. Finally, we have a interview with Strykerlabs. A startup which is changing how football teams train.</itunes:subtitle>
      <itunes:keywords>technology, ml, analytics, deep learning, tennis, artificial intelligence, football, sport, machine learning, ai</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
    </item>
    <item>
      <title>AI in Music Production &amp; Distribution</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>AI in Music Production &amp; Distribution</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">e33cedd5-d442-40df-ae50-bebd9224d8bd</guid>
      <link>https://share.transistor.fm/s/c8f7eed2</link>
      <description>
        <![CDATA[<p>Adrian's Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a></p><p>Bohdan's Linkedin:  <a href="https://www.linkedin.com/in/bandrusyak">https://www.linkedin.com/in/bandrusyak</a></p><p>References:</p><ul><li><a href="https://heartofnoise.com/products/galaxynth/">https://heartofnoise.com/products/galaxynth/</a></li><li><a href="https://nsynthsuper.withgoogle.com/">https://nsynthsuper.withgoogle.com/</a></li><li><a href="https://ailabs.tw/human-interaction/compound-word-transformer-generate-pop-piano-music-of-full-song-length/">https://ailabs.tw/human-interaction/compound-word-transformer-generate-pop-piano-music-of-full-song-length/</a></li><li><a href="https://ailabs.tw/human-interaction/guitar-transformer-and-jazz-transformer/">https://ailabs.tw/human-interaction/guitar-transformer-and-jazz-transformer/</a></li><li><a href="https://openai.com/blog/jukebox/">https://openai.com/blog/jukebox/</a></li><li><a href="https://magenta.tensorflow.org/studio">https://magenta.tensorflow.org/studio</a></li><li><a href="https://magenta.tensorflow.org/onsets-frames">https://magenta.tensorflow.org/onsets-frames</a></li><li><a href="https://magenta.tensorflow.org/music-vae">https://magenta.tensorflow.org/music-vae</a></li><li><a href="https://magenta.tensorflow.org/lofi-player">https://magenta.tensorflow.org/lofi-player</a></li><li><a href="https://magenta.tensorflow.org/transcultural">https://magenta.tensorflow.org/transcultural</a></li><li><a href="https://magenta.tensorflow.org/tone-transfer">https://magenta.tensorflow.org/tone-transfer</a></li><li><a href="https://www.aiva.ai/">https://www.aiva.ai/</a></li><li><a href="https://www.ampermusic.com/">https://www.ampermusic.com/</a></li><li><a href="https://soundraw.io/">https://soundraw.io/</a></li><li><a href="https://moises.ai/">https://moises.ai/</a></li><li><a href="https://www.musicbusinessworldwide.com/spotify-just-invented-ai-technology-that-will-police-songwriter-plagiarism/">https://www.musicbusinessworldwide.com/spotify-just-invented-ai-technology-that-will-police-songwriter-plagiarism/</a></li><li><a href="https://cordis.europa.eu/article/id/421438-ai-composers-create-music-for-video-games">https://cordis.europa.eu/article/id/421438-ai-composers-create-music-for-video-games</a></li><li><a href="https://www.yamaha.com/en/about/ai/dear_glenn/">https://www.yamaha.com/en/about/ai/dear_glenn/</a></li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Adrian's Linkedin: <a href="https://www.linkedin.com/in/spataru/">https://www.linkedin.com/in/spataru/</a></p><p>Bohdan's Linkedin:  <a href="https://www.linkedin.com/in/bandrusyak">https://www.linkedin.com/in/bandrusyak</a></p><p>References:</p><ul><li><a href="https://heartofnoise.com/products/galaxynth/">https://heartofnoise.com/products/galaxynth/</a></li><li><a href="https://nsynthsuper.withgoogle.com/">https://nsynthsuper.withgoogle.com/</a></li><li><a href="https://ailabs.tw/human-interaction/compound-word-transformer-generate-pop-piano-music-of-full-song-length/">https://ailabs.tw/human-interaction/compound-word-transformer-generate-pop-piano-music-of-full-song-length/</a></li><li><a href="https://ailabs.tw/human-interaction/guitar-transformer-and-jazz-transformer/">https://ailabs.tw/human-interaction/guitar-transformer-and-jazz-transformer/</a></li><li><a href="https://openai.com/blog/jukebox/">https://openai.com/blog/jukebox/</a></li><li><a href="https://magenta.tensorflow.org/studio">https://magenta.tensorflow.org/studio</a></li><li><a href="https://magenta.tensorflow.org/onsets-frames">https://magenta.tensorflow.org/onsets-frames</a></li><li><a href="https://magenta.tensorflow.org/music-vae">https://magenta.tensorflow.org/music-vae</a></li><li><a href="https://magenta.tensorflow.org/lofi-player">https://magenta.tensorflow.org/lofi-player</a></li><li><a href="https://magenta.tensorflow.org/transcultural">https://magenta.tensorflow.org/transcultural</a></li><li><a href="https://magenta.tensorflow.org/tone-transfer">https://magenta.tensorflow.org/tone-transfer</a></li><li><a href="https://www.aiva.ai/">https://www.aiva.ai/</a></li><li><a href="https://www.ampermusic.com/">https://www.ampermusic.com/</a></li><li><a href="https://soundraw.io/">https://soundraw.io/</a></li><li><a href="https://moises.ai/">https://moises.ai/</a></li><li><a href="https://www.musicbusinessworldwide.com/spotify-just-invented-ai-technology-that-will-police-songwriter-plagiarism/">https://www.musicbusinessworldwide.com/spotify-just-invented-ai-technology-that-will-police-songwriter-plagiarism/</a></li><li><a href="https://cordis.europa.eu/article/id/421438-ai-composers-create-music-for-video-games">https://cordis.europa.eu/article/id/421438-ai-composers-create-music-for-video-games</a></li><li><a href="https://www.yamaha.com/en/about/ai/dear_glenn/">https://www.yamaha.com/en/about/ai/dear_glenn/</a></li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 18 Jan 2021 16:15:24 +0000</pubDate>
      <author>Adrian Spataru</author>
      <enclosure url="https://media.transistor.fm/c8f7eed2/dd3f605f.mp3" length="27001535" type="audio/mpeg"/>
      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:duration>1687</itunes:duration>
      <itunes:summary>AI-generated Music, Spotify Recommender System &amp;amp; Virtual Artists. We explore the past, present and future of AI in the music industry.</itunes:summary>
      <itunes:subtitle>AI-generated Music, Spotify Recommender System &amp;amp; Virtual Artists. We explore the past, present and future of AI in the music industry.</itunes:subtitle>
      <itunes:keywords>ml, deep learning, music, music industry, spotify, neural networks, google, apple music, machine learning, ai, openai, sound</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
    </item>
    <item>
      <title>AI in Video Games &amp; Bots</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>AI in Video Games &amp; Bots</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">371a46d5-ea3f-45b4-9c7a-c899566e5737</guid>
      <link>https://share.transistor.fm/s/30913d47</link>
      <description>
        <![CDATA[<p><b>References</b></p><p>The AI of Alien Isolation: <a href="https://www.youtube.com/watch?v=Nt1XmiDwxhY">https://www.youtube.com/watch?v=Nt1XmiDwxhY</a></p><p>AlphaGo: <a href="https://deepmind.com/research/case-studies/alphago-the-story-so-far">https://deepmind.com/research/case-studies/alphago-the-story-so-far</a></p><p>AlphaMu/AlphaZero Paper: <a href="https://arxiv.org/abs/1712.01815">https://arxiv.org/abs/1712.01815</a></p><p>OpenAI Hide &amp; Seek: <a href="https://openai.com/blog/emergent-tool-use/">https://openai.com/blog/emergent-tool-use/</a></p><p>Game Balancing Software: <a href="https://machinations.io/">https://machinations.io/</a></p><p>Robust Motion In-betweening: <a href="https://static-wordpress.akamaized.net/montreal.ubisoft.com/wp-content/uploads/2020/07/09155337/RobustMotionInbetweening.pdf">https://static-wordpress.akamaized.net/montreal.ubisoft.com/wp-content/uploads/2020/07/09155337/RobustMotionInbetweening.pdf</a></p><p>Deep Reinforcement Learning for Navigation in AAA Video Games: <a href="https://montreal.ubisoft.com/en/deep-reinforcement-learning-for-navigation-in-aaa-video-games/">https://montreal.ubisoft.com/en/deep-reinforcement-learning-for-navigation-in-aaa-video-games/</a></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><b>References</b></p><p>The AI of Alien Isolation: <a href="https://www.youtube.com/watch?v=Nt1XmiDwxhY">https://www.youtube.com/watch?v=Nt1XmiDwxhY</a></p><p>AlphaGo: <a href="https://deepmind.com/research/case-studies/alphago-the-story-so-far">https://deepmind.com/research/case-studies/alphago-the-story-so-far</a></p><p>AlphaMu/AlphaZero Paper: <a href="https://arxiv.org/abs/1712.01815">https://arxiv.org/abs/1712.01815</a></p><p>OpenAI Hide &amp; Seek: <a href="https://openai.com/blog/emergent-tool-use/">https://openai.com/blog/emergent-tool-use/</a></p><p>Game Balancing Software: <a href="https://machinations.io/">https://machinations.io/</a></p><p>Robust Motion In-betweening: <a href="https://static-wordpress.akamaized.net/montreal.ubisoft.com/wp-content/uploads/2020/07/09155337/RobustMotionInbetweening.pdf">https://static-wordpress.akamaized.net/montreal.ubisoft.com/wp-content/uploads/2020/07/09155337/RobustMotionInbetweening.pdf</a></p><p>Deep Reinforcement Learning for Navigation in AAA Video Games: <a href="https://montreal.ubisoft.com/en/deep-reinforcement-learning-for-navigation-in-aaa-video-games/">https://montreal.ubisoft.com/en/deep-reinforcement-learning-for-navigation-in-aaa-video-games/</a></p>]]>
      </content:encoded>
      <pubDate>Thu, 07 Jan 2021 18:16:19 +0000</pubDate>
      <author>Adrian Spataru</author>
      <enclosure url="https://media.transistor.fm/30913d47/8aea4548.mp3" length="30552648" type="audio/mpeg"/>
      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:duration>1909</itunes:duration>
      <itunes:summary>AI is used in all stages of video game development. From automated animation generation up to super intelligent bots. We will explore some of the techniques such as Reinforcement Learning, Behavior Trees and more.</itunes:summary>
      <itunes:subtitle>AI is used in all stages of video game development. From automated animation generation up to super intelligent bots. We will explore some of the techniques such as Reinforcement Learning, Behavior Trees and more.</itunes:subtitle>
      <itunes:keywords>chess, deep learning, deepmind, artificial intelligence, bots, reinforcement learning, games, video games, game development, ai, animation, openai</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
    </item>
    <item>
      <title>How AI is used in Anime &amp; Manga</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>How AI is used in Anime &amp; Manga</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">ec62428c-3f5b-4b53-a506-e239ab210c45</guid>
      <link>https://share.transistor.fm/s/d5489531</link>
      <description>
        <![CDATA[With a $19 billion market cap, the Anime industry can benefit from machine learning methods. We will talk about current methods and the future of the industry as a whole.]]>
      </description>
      <content:encoded>
        <![CDATA[With a $19 billion market cap, the Anime industry can benefit from machine learning methods. We will talk about current methods and the future of the industry as a whole.]]>
      </content:encoded>
      <pubDate>Tue, 29 Dec 2020 21:09:24 +0000</pubDate>
      <author>Adrian Spataru</author>
      <enclosure url="https://media.transistor.fm/d5489531/f2a9e4da.mp3" length="23203600" type="audio/mpeg"/>
      <itunes:author>Adrian Spataru</itunes:author>
      <itunes:duration>1450</itunes:duration>
      <itunes:summary>With a $19 billion market cap, the Anime industry can benefit from machine learning methods. We will talk about current methods and the future of the industry as a whole.</itunes:summary>
      <itunes:subtitle>With a $19 billion market cap, the Anime industry can benefit from machine learning methods. We will talk about current methods and the future of the industry as a whole.</itunes:subtitle>
      <itunes:keywords>news, ml, deep learning, neural networks, anime, artificial intelligence, manga, machine learning, ai</itunes:keywords>
      <itunes:explicit>Yes</itunes:explicit>
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