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 Industrial AI Podcast is a proud partner of the Women in AI & Robotics initiative. 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.
http://www.aipod.de
Gesamtlänge aller Episoden: 6 days 19 hours 47 minutes
episode 214: Democratizing Industrial Data with generative AI
Peter Seeberg talked to Kurt DeMaagd, Chief AI Officer at Sight Machine - the data platform BASF, Nvidia, Komatsu, Heineken, Nike, Nissan and Jeep are using.
episode 213: How do I explain neural networks to my parents? Use the Crazy Village of AI
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.
episode 212: Update: The SORDI dataset
Chafic Abou Akar works for BMW and is Tech Lead SORDI.ai. He gives us an update on the SORDI dataset.
episode 211: A LLM as co-pilot for robotic components
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.
episode 210: Robustness and generalization performance of Deep Learning Models on Cyber-Physical Systems
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.
episode 209: A silent night in Berlin
We still have something for the summer break. Tristan has composed again with the AI. Metropolis Night!
episode 208: Porsche combines bayesian networks with modern approaches to optimize production planning
We talk to Simon Dürr from Porsche and Prof. Dr. Marco Huber from Fraunhofer IPA. Simon was responsible for the project at Porsche and wrote his PhD thesis on it. Marco Huber was his supervisor and together they explain the approach.
episode 207: Are you working on a Siemens LLM? "We do!"
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.
episode 206: Women in AI & Robotics: What role can AI play in robotics safety?
We spoke with Prof. Georgia Chalvatzaki from TU Darmstadt about safety, robot perception, LLMs and models for robotics.
episode 205: Realtalk: Industrial AI, LLMs and demand forecasting for retailers and intralogistics
Helmut Prieschenk, CEO from WITRON, and Franziskos Kyriakopoulos, founder of 7LYTIX from Linz, discuss ChatGPT, machine learning in logistics and demand forecasting for food retail.