289 Epizód

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

    Közzétéve: 2023. 04. 05.

  2. GPT plugins, Risk Classification Database for Industrial AI, farewell to G. Moore and Cybersecurity for ML Models

    Közzétéve: 2023. 03. 29.

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

    Közzétéve: 2023. 03. 22.

  4. Festo IO conference: MLOps is a buzzword, but...

    Közzétéve: 2023. 03. 15.

  5. Due-diligence for industrial AI startups

    Közzétéve: 2023. 03. 08.

  6. Why do you call TabPFN a revolution for data science?

    Közzétéve: 2023. 03. 01.

  7. Industrial AI and Motion Control - how do we reduce engineering time?

    Közzétéve: 2023. 02. 22.

  8. LSTM for ABB's Augmented Operator

    Közzétéve: 2023. 02. 15.

  9. How an Ex-MAN-employee uses reinforcement learning for factories

    Közzétéve: 2023. 02. 08.

  10. SDK for machine learning on the edge

    Közzétéve: 2023. 02. 01.

  11. More than an interface for open source AI-tools - what is AIUI?

    Közzétéve: 2023. 01. 25.

  12. IABG: How to safeguard AI?

    Közzétéve: 2023. 01. 18.

  13. What is Volkswagen's AI research working on?

    Közzétéve: 2023. 01. 11.

  14. The Festo AI strategy on products and processes

    Közzétéve: 2022. 12. 21.

  15. NeurIPS Special - more than ChatGPT

    Közzétéve: 2022. 12. 14.

  16. How do you make data accountable? With an AI model.

    Közzétéve: 2022. 12. 07.

  17. Use case: Industrial AI and the saw doctor

    Közzétéve: 2022. 11. 30.

  18. Control cabinets, connectors, PLCs and Industrial AI

    Közzétéve: 2022. 11. 23.

  19. Munich Re: Insure AI?

    Közzétéve: 2022. 11. 16.

  20. Why is causality important for artificial intelligence?

    Közzétéve: 2022. 11. 09.

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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 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.

Visit the podcast's native language site