Industrial AI Podcast

Auteur(s): Robert Weber / Peter Seeberg
  • Résumé

  • The Industrial AI Podcast reports weekly on the latest developments in AI and machine learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and machine learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist.Their mission: Demystify Industrial AI and machine learning, inspire industrial users. The hosts: Peter Seeberg is an Industrial AI and machine learning expert for the manufacturing industry. He worked over 25 years in IT (Intel) and 10 years in Automation. He co-initiated the Industrial Data Intelligence Startup (Softing) where he was responsible for managing machine learning projects in industrial environments. Today he advises companies when it comes to Industrial AI and machine learning. Together with Robert Weber, journalist for industrial topics, he discusses AI and ML applications, standards, and education topics, make or buy decisions as well as regulation for AI in manufacturing.
    Robert Weber / Peter Seeberg
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Épisodes
  • Reasoning for Drones and World Robotics Models
    Feb 19 2025
    Andrii Zadaianchuk's CV is impressive: ETH Zurich, Max Planck and University of Amsterdam. We spoke to the exceptional researcher from the Netherlands. It's all about industrial AI and world robotics models.
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    1 h et 14 min
  • Max Wellings CuspAI
    Feb 12 2025
    We wanted to know who Cusp AI's customers are, what the platform looks like and how it brings together AI and domain knowledge. And Max explains what his product looks like in the end.
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    19 min
  • DeepSeek and Beyond Safety
    Feb 5 2025
    Prof. Dr. Günter Klambauer explains Deepseek and evaluates the new model for us. Prof. Dr. Daniel Leidner from DLR, Anders Billesø Beck from Universal Robots and Dr. Karsten Roscher from Fraunhofer IKS discuss robotics, AI and safety with us.
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    1 h et 13 min

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