Industrial AI Podcast

After all the LLM stuff: We talked to Dr. Martin Plank from Festo about a bread and butter topic. He explains us different approaches to deploy your ML model. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner Siemens [Martin Plank] (https://www.linkedin.com/in/martin-plank-9246a9203/) **OUR EVENT IN JANUARY ** https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/ We thank our team: Barbara, Anne and Simon!

Prof. Dr. Sepp Hochreiter discusses xLSTM, the European answer to ChatGPT and Co. He compares xLSTM to transformers, highlighting its speed and parallel word processing capabilities. The advantages and limitations of LSTM and the introduction of xLSTM as an improved version are explored. Criticism surrounding large language models and the goal of securing 300 million euros for the project are discussed. The structural differences between LSTM and xLSTM and their potential in engineering applications are also explored.

Kurt DeMaagd, Chief AI Officer at Sight Machine, discusses democratizing industrial data with generative AI and how their company helps manufacturers extract and transform data into useful formats. They also cover the architecture of Sight Machine's platform, their support for edge devices and cloud computing, industries and customers they work with, and the capabilities of their AI interface including multilingual support.

How do I explain neural networks to my parents? We talked to Prof. Günter Klambauer about his idea to use the Crazy Village of AI. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner Siemens [Günter Klambauer] (https://www.linkedin.com/in/g%C3%BCnter-klambauer-1b73293a) Thanks to Women in AI and Robotics (more) PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich https://www.zuehlke.com/en/machine-learning We thank our team: Barbara, Anne and Simon!

Chafic Abou Akar works for BMW and is Tech Lead SORDI.ai. He gives us an update on the SORDI dataset. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner Siemens Chafics Open Source profile https://github.com/chaficii and LinkedIn https://www.linkedin.com/in/chafic-abou-akar/ Thanks to Women in AI and Robotics (more) PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich https://www.zuehlke.com/en/machine-learning We thank our team: Barbara, Anne and Simon!

In this episode, Robert Weber spoke with Patrick Heimburger and Ismail Shoukry from robotics builder Fruitcore Robotics about LLMs, the robotics co-ciplot and the simplified handling of components such as cameras. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner Siemens More about Fruitcore Robotics https://www.fruitcore-robotics.com/en/horstos-ai-copilot Thanks to Women in AI and Robotics (more) PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich https://www.zuehlke.com/en/machine-learning We thank our team: Barbara, Anne and Simon!

We are back from the summer break. In this episode, Peter Seeberg talks to Prof. Dr. Oliver Niggemann about his study Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner Siemens Olivers Paper: https://arxiv.org/abs/2306.07737 Thanks to Women in AI and Robotics (more) PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich https://www.zuehlke.com/en/machine-learning We thank our team: Barbara, Anne and Simon!

We still have something for the summer break. Tristan has composed again with the AI. Metropolis Night! Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. Thanks to Tristan Behrens - more AI music (here) We thank our partner Siemens Thanks to Women in AI and Robotics (more) PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich https://www.zuehlke.com/en/machine-learning We thank our team: Barbara, Anne and Simon!

Simon Dürr from Porsche and Prof. Dr. Marco Huber discuss the optimization of production planning using Bayesian networks. They delve into incorporating customer behavior and market variations, the creation and reinforcement learning of network structures, and the challenges of implementation in a large organization. They also highlight the importance of plant orders and the potential application in other industries.

In this episode, Peter and Robert talk to the CTO of Siemens: Peter Körte. It's about industrial grade LLMs, bread and butter business with AI, regulation and use cases. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner Siemens Thanks to Women in AI and Robotics (more) PLEASE fill out the survey from Gabriel Krummenacher and the ETH Zurich https://www.zuehlke.com/en/machine-learning We thank our team: Barbara, Anne and Simon! Our guest: Peter Körte