In this episode, we dive into the rapidly evolving world of AI-driven material discovery with Victor Schmidt, tracing his journey from research at Mila in Montreal to launching a cutting-edge startup in Paris, Entalpic. We explore how generative models and graph neural networks are reshaping the way we discover new materials, with a focus on environmental impact and sustainable industry. I discuss the challenges of bridging domain expertise with machine learning and how 'research as a service' is opening new doors for industrial innovation. Paris emerges as a vibrant AI hub, and we uncover what makes its ecosystem unique for startups and researchers alike. If you're curious about the intersection of AI, chemistry, and entrepreneurship, this conversation is packed with insights and forward-looking ideas.
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50:10
AI Agents in Engineering
Peter Seeberg talks to Ram Seetharaman, Head of AI & Product Manager at Synera about Building your first digital engineer.
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52:35
The future of CAD - an Indian Perspective
Pravin Waghmare is the CEO of Prescient from Pune. Magnus from Sandvik gave us the tip to talk to him about AI and CAD.
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24:28
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24:28
The sleeping giant awakens - Industrial AI education in India
What is happening in the field of industrial AI in India? An entire generation of young people is striving to enter this new field. We wanted to know: What does the training look like?
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47:26
How Audi uses LSTM in resistance spot welding
With the help of artificial intelligence, Audi analyzes around 1.5 million weld points on 300 vehicles per shift at its Neckarsulm site. By way of comparison, employees in production previously monitored the quality of the processes involved in resistance spot welding (WPS) manually on a random basis using ultrasound, checking just over 5,000 weld spots per vehicle. Thanks to the use of AI, employees can now concentrate on potential anomalies and thus check quality even more efficiently and in a more targeted manner.
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.
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