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Porsche combines bayesian networks with modern approaches to optimize production planning
Industrial AI Podcast
English - August 16, 2023 22:01 - 31 minutes - 26.2 MBTechnology machine learning maschinenbau industrie künstliche intelligenz industrial ai artificial intelligence data ai podcast siemens Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
We talk to Simon Dürr from Porsche and Prof. Dr. Marco Huber from Fraunhofer IPA. Simon was responsible for the project at Porsche and wrote his PhD thesis on it. Marco Huber was his supervisor and together they explain the approach. The project attracted a lot of attention within the company. With this episode, Peter and Robert say goodbye to the summer break. We will be back in September.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner [Siemens ](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html)
Thanks to Women in AI and Robotics ([more](https://www.womeninairobotics.de/))
PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich
[https://www.zuehlke.com/en/machine-learning](https://www.zuehlke.com/en/machine-learning)
We thank our team:
Barbara, Anne and Simon!
We talk to Simon Dürr from Porsche and Prof. Dr. Marco Huber from Fraunhofer IPA. Simon was responsible for the project at Porsche and wrote his PhD thesis on it. Marco Huber was his supervisor and together they explain the approach.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our partner Siemens
Thanks to Women in AI and Robotics (more)
PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich
https://www.zuehlke.com/en/machine-learning
We thank our team:
Barbara, Anne and Simon!