Siemens Energy: How to decrease simulations computing days down to minutes.

Industrial AI Podcast

English - February 21, 2024 23:01 - 39 minutes - 32.2 MB
Technology 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

Previous Episode: Automotive: Battery Testing with AI

Next Episode: Brandstetter: A foundation model for simulation

We are starting a small simulation special. Last week it was all about batteries. This week the focus is on gas turbines by Siemens Energy. Behnam Nouri is the AI expert at Siemens Energy. He talks to Peter Seeberg about the simulation of gas turbines and explains how he and his team were able to reduce the calculation time for simulations using machine learning. Peter is traveling with an unreliable Internet connection. So the news part is a bit shorter. Robert Weber talks about Sora and what the new genAI model means for the engineering process.

Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

We thank our partner **HANNOVER MESSE**
https://www.hannovermesse.de/de/

Job offering: Heilbronn is looking for a professor
https://cdn.hs-heilbronn.de/ce3c0933328f570c/d9e7413e6a15/232-P-IT.pdf

Sora Video https://www.youtube.com/watch?v=fG3IE9dkyKY

Stefan Suwelacks Posts https://www.linkedin.com/feed/update/urn:li:activity:7164215963301703680?utm_source=share&utm_medium=member_desktop

Benedict Evans https://www.ben-evans.com/presentations

Behnam Nouri https://www.linkedin.com/in/behnam-nouri-33381063/

Behnam Nouri is one of the AI experts at Siemens Energy. He talks to Peter Seeberg about the simulation of gas turbines and explains how he and his team were able to reduce the calculation time for simulations using machine learning.