<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:googleplay="http://www.google.com/schemas/play-podcasts/1.0" xmlns:soundon="http://soundon.fm/spec/podcast-1.0"><channel><title><![CDATA[Generative Talks]]></title><description><![CDATA[Generative Talks]]></description><link>https://player.soundon.fm/p/e51e091a-195c-419f-8929-7b020d12d1db</link><image><url>https://files.soundon.fm/1768493550885-8b751283-de75-4a29-b06e-9285131f862c.jpeg</url><title>Generative Talks</title><link>https://player.soundon.fm/p/e51e091a-195c-419f-8929-7b020d12d1db</link></image><generator>SoundOn</generator><lastBuildDate>Wed, 27 May 2026 15:10:28 GMT</lastBuildDate><atom:link href="https://feeds.soundon.fm/podcasts/e51e091a-195c-419f-8929-7b020d12d1db.xml" rel="self" type="application/rss+xml"/><copyright><![CDATA[Content generated by AI. Copyright belongs to The Silicon Seminar.]]></copyright><language><![CDATA[en]]></language><category><![CDATA[Education]]></category><category><![CDATA[Self-Improvement]]></category><soundon:id>e51e091a-195c-419f-8929-7b020d12d1db</soundon:id><soundon:searchId>e51e091a-195c-419f-8929-7b020d12d1db</soundon:searchId><soundon:deleted>no</soundon:deleted><soundon:createdAt>2026-01-15T16:15:02.022Z</soundon:createdAt><soundon:updatedAt>2026-01-15T21:15:11.637Z</soundon:updatedAt><soundon:enableProductPage>false</soundon:enableProductPage><soundon:enableSubscription>false</soundon:enableSubscription><itunes:type>Episodic</itunes:type><itunes:complete>no</itunes:complete><itunes:block>no</itunes:block><itunes:author><![CDATA[The Silicon Seminar]]></itunes:author><itunes:summary/><itunes:owner><itunes:name><![CDATA[The Silicon Seminar]]></itunes:name><itunes:email><![CDATA[thai@ilovelz.com]]></itunes:email></itunes:owner><itunes:image href="https://files.soundon.fm/1768493550885-8b751283-de75-4a29-b06e-9285131f862c.jpeg"/><itunes:explicit>no</itunes:explicit><itunes:subtitle><![CDATA[Every Word, A Roll of the Dice.]]></itunes:subtitle><itunes:category text="Education"><itunes:category text="Self-Improvement"/></itunes:category><item><title><![CDATA[[EP.2]Why organizational scale drives fraud loss?]]></title><description><![CDATA[This study explores how organizational size influences the economic losses caused by criminal cases. The authors transformed legal texts into computable feature variables, finding that the number of defendants and organized operation are the most crucial indicators for predicting high losses. The study indicates that individual factors such as higher education and age indirectly increase criminal profits primarily by expanding organizational size or enhancing coordination capabilities. Based on these findings, the paper proposes a scale-aware anti-fraud risk modeling framework, aiming to improve the efficiency of monitoring telecommunications fraud using graph analysis and machine learning. Through case clustering analysis, the study demonstrates that telecommunications fraud has evolved into a highly industrialized and well-defined form of modern cybercrime. ]]></description><link>https://player.soundon.fm/p/e51e091a-195c-419f-8929-7b020d12d1db/episodes/210e1008-6420-4d08-bf5f-94caed5bcd0d</link><guid isPermaLink="false">210e1008-6420-4d08-bf5f-94caed5bcd0d</guid><dc:creator><![CDATA[The Silicon Seminar]]></dc:creator><pubDate>Wed, 27 May 2026 14:37:42 GMT</pubDate><enclosure url="https://rss.soundon.fm/rssf/e51e091a-195c-419f-8929-7b020d12d1db/feedurl/210e1008-6420-4d08-bf5f-94caed5bcd0d/rssFileVip.mp3?timestamp=1779893244539" length="1" type="audio/mpeg"/><content:encoded><![CDATA[<p><br />This study explores how organizational size influences the economic losses caused by criminal cases. The authors transformed legal texts into computable feature variables, finding that the number of defendants and organized operation are the most crucial indicators for predicting high losses. The study indicates that individual factors such as higher education and age indirectly increase criminal profits primarily by expanding organizational size or enhancing coordination capabilities. Based on these findings, the paper proposes a scale-aware anti-fraud risk modeling framework, aiming to improve the efficiency of monitoring telecommunications fraud using graph analysis and machine learning. Through case clustering analysis, the study demonstrates that telecommunications fraud has evolved into a highly industrialized and well-defined form of modern cybercrime. </p>]]></content:encoded><soundon:id>210e1008-6420-4d08-bf5f-94caed5bcd0d</soundon:id><soundon:createdAt>2026-05-27T14:38:36.804Z</soundon:createdAt><soundon:updatedAt>2026-05-27T14:47:24.539Z</soundon:updatedAt><soundon:exclusive>public</soundon:exclusive><itunes:summary><![CDATA[This study explores how organizational size influences the economic losses caused by criminal cases. The authors transformed legal texts into computable feature variables, finding that the number of defendants and organized operation are the most crucial indicators for predicting high losses. The study indicates that individual factors such as higher education and age indirectly increase criminal profits primarily by expanding organizational size or enhancing coordination capabilities. Based on these findings, the paper proposes a scale-aware anti-fraud risk modeling framework, aiming to improve the efficiency of monitoring telecommunications fraud using graph analysis and machine learning. Through case clustering analysis, the study demonstrates that telecommunications fraud has evolved into a highly industrialized and well-defined form of modern cybercrime. ]]></itunes:summary><itunes:author><![CDATA[The Silicon Seminar]]></itunes:author><itunes:episodeType>Full</itunes:episodeType><itunes:explicit>no</itunes:explicit><itunes:duration>2975</itunes:duration><itunes:season>1</itunes:season><itunes:episode>2</itunes:episode><itunes:image href="https://files.soundon.fm/1768493550885-8b751283-de75-4a29-b06e-9285131f862c.jpeg"/></item><item><title><![CDATA[[EP.1] Policy Drives Organized Crime Violence]]></title><description><![CDATA[This issue's content is sourced from The Oxford Handbook of Organized Crime, co-authored by multiple leading criminologists worldwide, aiming to provide an in-depth analysis of the concept, history, and evolution of organized crime. The book notes that the term has long oscillated between two core concepts—“illegal criminal organizations” and “profit-driven criminal activities”—reflecting complex definitional disagreements among academics and policymakers. It covers the formation and operational models of global criminal networks ranging from the Italian Mafia and American crime families to Russian organized crime groups and Mexican drug paramilitary groups. Furthermore, the authors delve into the proliferation of transnational organized crime across sectors including drug trafficking, money laundering, human trafficking, and the illegal exploitation of natural resources. The handbook concludes by evaluating the effectiveness of policies implemented by nations and international organizations to combat such crimes through asset forfeiture, legal cooperation, and technological surveillance. ]]></description><link>https://player.soundon.fm/p/e51e091a-195c-419f-8929-7b020d12d1db/episodes/379e6958-2640-48db-bd95-3887e1902306</link><guid isPermaLink="false">379e6958-2640-48db-bd95-3887e1902306</guid><dc:creator><![CDATA[The Silicon Seminar]]></dc:creator><pubDate>Wed, 14 Jan 2026 21:09:39 GMT</pubDate><enclosure url="https://rss.soundon.fm/rssf/e51e091a-195c-419f-8929-7b020d12d1db/feedurl/379e6958-2640-48db-bd95-3887e1902306/rssFileVip.mp3?timestamp=1768511987184" length="1" type="audio/mpeg"/><content:encoded><![CDATA[<p><br />This issue's content is sourced from The Oxford Handbook of Organized Crime, co-authored by multiple leading criminologists worldwide, aiming to provide an in-depth analysis of the concept, history, and evolution of organized crime. The book notes that the term has long oscillated between two core concepts—“illegal criminal organizations” and “profit-driven criminal activities”—reflecting complex definitional disagreements among academics and policymakers. It covers the formation and operational models of global criminal networks ranging from the Italian Mafia and American crime families to Russian organized crime groups and Mexican drug paramilitary groups. Furthermore, the authors delve into the proliferation of transnational organized crime across sectors including drug trafficking, money laundering, human trafficking, and the illegal exploitation of natural resources. The handbook concludes by evaluating the effectiveness of policies implemented by nations and international organizations to combat such crimes through asset forfeiture, legal cooperation, and technological surveillance. </p>]]></content:encoded><soundon:id>379e6958-2640-48db-bd95-3887e1902306</soundon:id><soundon:createdAt>2026-01-15T21:10:59.447Z</soundon:createdAt><soundon:updatedAt>2026-01-15T21:19:47.184Z</soundon:updatedAt><soundon:exclusive>public</soundon:exclusive><itunes:summary><![CDATA[This issue's content is sourced from The Oxford Handbook of Organized Crime, co-authored by multiple leading criminologists worldwide, aiming to provide an in-depth analysis of the concept, history, and evolution of organized crime. The book notes that the term has long oscillated between two core concepts—“illegal criminal organizations” and “profit-driven criminal activities”—reflecting complex definitional disagreements among academics and policymakers. It covers the formation and operational models of global criminal networks ranging from the Italian Mafia and American crime families to Russian organized crime groups and Mexican drug paramilitary groups. Furthermore, the authors delve into the proliferation of transnational organized crime across sectors including drug trafficking, money laundering, human trafficking, and the illegal exploitation of natural resources. The handbook concludes by evaluating the effectiveness of policies implemented by nations and international organizations to combat such crimes through asset forfeiture, legal cooperation, and technological surveillance. ]]></itunes:summary><itunes:author><![CDATA[The Silicon Seminar]]></itunes:author><itunes:episodeType>Full</itunes:episodeType><itunes:explicit>no</itunes:explicit><itunes:duration>1956</itunes:duration><itunes:season>1</itunes:season><itunes:episode>1</itunes:episode><itunes:image href="https://files.soundon.fm/1768493550885-8b751283-de75-4a29-b06e-9285131f862c.jpeg"/></item></channel></rss>