Industrial AI Podcast

Siemens and Schaeffler collaborate on industrial co-pilot training, AI integration, and factory automation. Topics include enhancing prompts for efficiency, data hierarchy in industrial applications, and problem-solving with shop floor copilot. Learn about their innovative approach to engineering processes and workforce communication.

The podcast discusses RAG in industrial AI, prioritizing data quality over specific AI models. It explores the benefits of RAC technology, industrial foundation models, evolution of RAC tooling, building Rackbase assistance, Sora and AI in engineering, and transformers in high-frequency time series data in industrial contexts.

A CISO from Mann+Hummel discusses their rules for GenAI and LLMs. They talk about Landing AI as a new partner and ponder if models are a commodity. In other chapters, they explore industrial AI in Europe, code translation, Microsoft and Mistral cooperation, and setting guidelines for AI usage in organizations.

Exploring AI-driven advancements in simulation for industry, predicting the future adoption of AI-based tools. Discussing challenges in scaling simulation models and integrating Larian and Lagrangian data. Guest speaker, Johannes Brandstetter, shares insights on building a foundation model for industry simulations.

Siemens Energy AI expert discusses reducing simulation computing time with machine learning. Topics include turbine optimization, evolution of turbines in energy generation, speeding up engineering simulations, evolution of machine learning models, simulating material deformation, and efficiency with NVIDIA A100 GPUs.

Richard Ahlfeld, CEO of Monolith AI, discusses the rising importance of battery testing for automotive applications and the application of AI and machine learning in this field. He shares insights on optimizing test plans, the technical aspects of battery testing with AI, and the challenges of deploying a cloud-based toolbox for battery testing.

Sepp Hochreiter, a researcher in LLM alternative architecture, discusses the advancement of XLSTM, the significance of context length in language models, the exploration of XLSTM potential and IP rights in Europe, and the evaluation of methods and abstract reasoning. The potential applications of large language models for companies are also explored.

Xiaopeng Li, a Microsoft AI expert, discusses the adoption of generative AI, the importance of an ecosystem in its success, and using foundation models with company data. They explore use cases of large language models in machine learning and techniques for mitigating hallucinations. They also explore the history of AI and the current status of AI development, highlighting the role of European organizations in industry-specific AI solutions.

Automation companies are still investing a lot of money in hardware when it comes to AI. Why is that? 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/ Stefan Fischereder (LinkedIn)

Our guests: Dr. Fabian Bause and Jannis Doppmeier. Both work for Beckhoff and are responsible for the TwinCAT Chat - a LLM based approach for the engineering. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner HANNOVER MESSE **OUR EVENT IN JANUARY ** https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/ Contact to Dr. Fabian Bause here Contact to Jannis Doppmeier here