Industrial AI Podcast

289 Episodes

1. GPT for industrial use cases and LLMs on the edge

   Published: 4/5/2023
2. GPT plugins, Risk Classification Database for Industrial AI, farewell to G. Moore and Cybersecurity for ML Models

   Published: 3/29/2023
3. Festo IO conference: What is Fetch.ai - a crypto, an ecosystem for ML or both?

   Published: 3/22/2023
4. Festo IO conference: MLOps is a buzzword, but...

   Published: 3/15/2023
5. Due-diligence for industrial AI startups

   Published: 3/8/2023
6. Why do you call TabPFN a revolution for data science?

   Published: 3/1/2023
7. Industrial AI and Motion Control - how do we reduce engineering time?

   Published: 2/22/2023
8. LSTM for ABB's Augmented Operator

   Published: 2/15/2023
9. How an Ex-MAN-employee uses reinforcement learning for factories

   Published: 2/8/2023
10. SDK for machine learning on the edge

    Published: 2/1/2023
11. More than an interface for open source AI-tools - what is AIUI?

    Published: 1/25/2023
12. IABG: How to safeguard AI?

    Published: 1/18/2023
13. What is Volkswagen's AI research working on?

    Published: 1/11/2023
14. The Festo AI strategy on products and processes

    Published: 12/21/2022
15. NeurIPS Special - more than ChatGPT

    Published: 12/14/2022
16. How do you make data accountable? With an AI model.

    Published: 12/7/2022
17. Use case: Industrial AI and the saw doctor

    Published: 11/30/2022
18. Control cabinets, connectors, PLCs and Industrial AI

    Published: 11/23/2022
19. Munich Re: Insure AI?

    Published: 11/16/2022
20. Why is causality important for artificial intelligence?

    Published: 11/9/2022