Industrial AI Podcast Podcast Por Robert Weber / Peter Seeberg arte de portada

Industrial AI Podcast

Industrial AI Podcast

De: Robert Weber / Peter Seeberg
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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 Ciencia Economía Gestión Gestión y Liderazgo Historia Natural Naturaleza y Ecología
Episodios
  • Numerical Machine Learning: Where Physics Meets AI

    Numerical Machine Learning: Where Physics Meets AI
    Nov 26 2025
    In this episode, I sit down once again with Professor Oliver Niggemann to unravel the world of numerical machine learning—where traditional engineering meets cutting-edge AI. We explore real-world projects from diagnosing the International Space Station to designing safer bridges, smarter batteries, and even optimizing biodiversity. Oliver breaks down how fusing symbolic knowledge and neural networks is revolutionizing simulation, design, and problem-solving across industries. If you’ve ever wondered how AI can speed up material discovery or what the future holds for interdisciplinary engineers, this conversation is for you. We dive into the power of surrogate models, the evolution of engineering education, and why tomorrow’s innovations demand both deep technical expertise and creative collaboration. Join us for a look at the next frontier in industrial AI.
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    41 m
  • Physics and Causality in Robotics

    Physics and Causality in Robotics
    Nov 19 2025
    In this episode, we dig deep into the evolving landscape of industrial AI, from billion-dollar cloud partnerships in Europe to the fierce debate over digital sovereignty. We break down what sets 'sovereign by contract' apart from 'sovereign by origin,' and why this matters for companies navigating global AI strategies. We’re joined by Professor Stratis Gavves from the University of Amsterdam to unpack the world of robotics models and the critical role of physics-informed AI. Alongside the latest industry news—like SAP’s move into open-source models and the rise of edge AI—we explore what it takes to stay competitive in a rapidly shifting market. Join us as we question, challenge, and celebrate the innovations set to define the next era of industrial intelligence.
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    55 m
  • MathWorks and the evolution of AI in engineering

    MathWorks and the evolution of AI in engineering
    Nov 12 2025
    In this episode, I sit down with Richard Rovner, Vice President of Marketing at MathWorks, to explore the fascinating evolution of AI in engineering. We trace the technology’s journey from its early days in the 1980s, through transformative milestones like deep learning and code generation, all the way to today's AI-driven design tools and copilots. Richard shares insider perspectives on how AI is changing the engineer’s workflow, what generative AI means for the future, and why the human touch remains essential in a world of accelerating automation. If you’re curious about where engineering and AI are headed—or how to stay ahead in this rapidly shifting landscape—this conversation is packed with insights you won’t want to miss.
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    40 m
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