Industrial AI Podcast
A podcast by Robert Weber / Peter Seeberg - Thursdays
Categories:
265 Episodes
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Trumpf's Industrial AI strategy
Published: 15/05/2024 -
The xLSTM paper and a 2D Grasping solution
Published: 8/05/2024 -
Hope for Europe: The State of AI Talent Report
Published: 1/05/2024 -
AI explains Source Code
Published: 24/04/2024 -
Beckhoff launches an AutoML tool
Published: 21/04/2024 -
What's going on with the Industrial AI Podcast?
Published: 17/04/2024 -
Silo AI: Why Körber, Philips or Unilever work with them?
Published: 10/04/2024 -
Timeseries Data: Deploy the model in the database
Published: 3/04/2024 -
Autonomous systems in process industry
Published: 27/03/2024 -
Schaeffler and Siemens: How to train the Industrial Copilot?
Published: 20/03/2024 -
RAG in an industrial setting
Published: 13/03/2024 -
Mann+Hummel: Rules for the AI copilot
Published: 6/03/2024 -
Brandstetter: A foundation model for simulation
Published: 28/02/2024 -
Siemens Energy: How to decrease simulations computing days down to minutes.
Published: 21/02/2024 -
Automotive: Battery Testing with AI
Published: 14/02/2024 -
Newsflash: Pierer invests Millions in Hochreiter‘s XLSTM
Published: 5/02/2024 -
Xiaopeng Li 李小鹏: Europes opportunity on GenAI is apply AI
Published: 31/01/2024 -
Automation and AI: Why do you always build grey boxes?
Published: 24/01/2024 -
Beckhoff: Building a HMI with a LLM
Published: 17/01/2024 -
Bosch´s strategy on GenAI
Published: 10/01/2024
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 Industrial AI Podcast is a proud partner of the Women in AI & Robotics initiative. 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.
