Industrial AI Podcast
Latest Episodes
Use case: Industrial AI and the saw doctor
AI isn't just for the big companies. We found a medium-sized company from the Alpine foothills that is taking an interesting approach to its levelling and tensioning machine.
Control cabinets, connectors, PLCs and Industrial AI
Most listeners know Phoenix Contact as a supplier for the control cabinet or as a PLC manufacturer. But the Blomberg-based company also wants to market AI models. Tom Hammerbacher explains to us how t
Munich Re: Insure AI?
Alexandra Matthews explains how the Munich Re guarantee the performance of AI solutions.
Why is causality important for artificial intelligence?
Dr. Michael Haft, Founder and CEO at Xplain Data, explains the difference between correlation and causation and why causality is important for Industrial AI.
Reinforcement Learning for a hydraulic system?
Peter Seeberg talked to Fabian-Kreutmayr from Hawe Hydraulik about industrial AI applications and new technologies. Fabian is Specialist Machine Learning.
MCML: Where do we want the core AI/ML research to happen?
We spoke with the three directors of the MCML about research priorities, the battle for the best minds and the role of tech companies. Thank you: Prof. Dr. Daniel Cremers, Prof. Dr. Thomas Seidl and P
Deep Vision: Technology trends with Cees Snoek
If you want to know how computer vision and AI are developing, you have to travel to Amsterdam and talk to Prof. Cees Snoek.
AI-assistant for laser cutting
We talk about our event with Sepp Hochreiter and in the main part Jonathan Spitz from Gauss ML explains how he improves OEE with his AI assistant.
INSA: AI for the innovation process
Werner Faulhaber from Arburg drew our attention to the INSA in Strasbourg. Prof. Denis Cavallucci and his team are conducting research with industry on the topic of AI in product development.
How Zeiss engineers use the Markov Chain
Peter talked to Dr. Jens Brgin and Kai Kmmel from Zeiss about the Markov Chain and how they use it in their projects.