Industrial AI Podcast

Prof. Dr. Sepp Hochreiter and his team from NXAI present TiRex - a time series model for the industrial sector that outperforms competitors from Amazon, Google, Salesforce and Alibaba. Check the leaderboards. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS Huggingface: https://huggingface.co/NX-AI/TiRex Leaderboard: https://huggingface.co/spaces/Salesforce/GIFT-Eval

Tom Zehle, a data scientist at Airbus and researcher at LMU Munich, discusses his strategies for staying up to date with AI research. He shares innovative tools like Perplexity AI that help him analyze academic papers efficiently. Zehle emphasizes the importance of online communities and collaborative environments in keeping pace with advancements. He also explores the challenges of integrating theoretical frameworks with practical applications, highlighting knowledge management and the role of explainability in AI development.

Peter Seeberg talks to Thomas Dhollander, Co-founder & CPO at Timeseer.AI about Trusted IIoT Data as the Key to Proactive Operations. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS

In this episode, we talk to Lucas from MathWorks about their Safe AI Approach and how it can be used to make money, think about the Pope, and introduce our new US correspondent. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS

Peter talks to Pieter van Schalkwyck, CEO at XMPRO about Multi-Agent Generative Systems (MAGS) for transforming industrial processes. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS

In this compelling discussion, Thomas Hurt, a researcher at Siki Research specializing in global AI talent trends, shares important insights on the shifting dynamics of AI talent between the U.S. and Europe. He debates whether Europe can realistically attract this talent back, examining salary disparities and ethical AI promotion. Hurt also critiques the rigid structures in European academia that hinder innovation and discusses how universities can better prepare for incoming talent. Join the conversation on the future of AI careers!

Collin Masson, Director of Research at ARC Advisory Group, dives into the rapid evolution of industrial AI. He discusses the crucial Model Context Protocol (MCP) and its role in contextualizing factory data for better AI model selection. The conversation also highlights advancements in AI frameworks and the need for standardized communication protocols to enhance security in industrial communications. Moreover, Masson emphasizes the benefits of open-source collaborations in agent communication, pushing against misconceptions that generative AI is a catch-all solution.

Robert talked to Miroslaw Bartecki from Kyp.ai about Data, Supply Chains and AI, EPR-Systems and Agents and a lot more. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS

Simon Schmidt, Senior Manager at Fraunhofer IPA, dives into the world of humanoid robotics and their potential impact on manufacturing. He highlights the ongoing debate over what qualifies as humanoid and discusses insights from a survey revealing differing perceptions among stakeholders. The conversation unveils the challenges these robots face in achieving practicality and safety, as well as the need for viable business cases to ensure their success. Lastly, Schmidt emphasizes the necessity for increased funding and research in Germany to match human capabilities with robotics.

David Priev, Co-founder of Limitless CNC and a mechanical engineer with military background, dives into the innovative intersection of AI and CNC manufacturing. He shares how their journey began during military service and highlights the unique challenges faced in this sector. The discussion covers AI agents optimizing operations, the crucial role of data privacy, and the development of user-driven recommendation engines. With insights on the competitive landscape and integrating large language models, David reveals the exciting future of CNC technology.