Industrial AI Podcast Archiv

Jan Koutnik “Czeched out” in 2009 to improve recurrent neural networks and scale evolutionary reinforcement learning as a postdoc at IDSIA. At NNAISENSE, he directed the division of the company responsible for the “learning to park” NeurIPS 2016 demo with Audi, the “learning to run” NeurIPS competition win in 2017, and the Festo Softhand in-hand manipulation demo at Hannover Messe in 2019. We take a brief look back with Jan Koutnik at his time at NNAISENSE and the beginnings of Industrial AI. Then we switch to the present. Jan explains his Industrial AI approach, why he doesn't realize GenAI use cases and where he sees the sweet spot for himself and his new company. Spoiler: It's all about vision systems. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner **SIEMENS** https://www.siemens.de/de/ Our guest is [Jan Koutnik ](https://www.linkedin.com/in/jan-koutn%C3%ADk-b7b6872/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #Safety #NVIDIA #LSTM #IndustrialAI #bluecollar

The EU Machinery Regulation and the topic of AI are closely linked. But other regulations also play a role. For example, machine manufacturers must also keep an eye on the AI Act. Is the regulation a breakthrough? Sascha Steinkrauß remains skeptical. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner **SIEMENS** https://www.siemens.de/de/ Our guest is [Sascha Steinkrauß ](https://www.linkedin.com/in/sascha-steinkrau%C3%9F-6b3248117/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #Sandvik #CAM #Safety #NVIDIA #xLSTM

Our guest is Magnus Malmström. He is the CTO of Sandvik. He explains to us what his customers demand from him in the area of AI, why his day-to-day work is dominated by AI and how he enriches his CAM systems. And he reveals the new AI based products by Sandvik. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner **SIEMENS** https://www.siemens.de/de/ [More about Sandvik's AI for manufacturing:](https://bit.ly/3XHPfXH) Our guest is [Magnus Malmström](https://www.linkedin.com/in/magnusmalmstrom/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #CAM

Prof. Dr. Jakub Tomczak published a sensational article on GenAI Systems a few weeks ago. We immediately realised that he had to explain it to us. His outlook: The idea of using LLMs as a backbone for Operating Systems and agents as applications has attracted a lot of attention. Here, we consider general systems with various GenAI-based components, not only LLM-based compartments. Either way, moving towards GenAI-based (operating) systems seems like the future, and the next step of cloud-based systems. Indeed, GenAISys can be deployed locally, but also in a cloud server; or as a hybrid (e.g., a GeM, a cache storage, and DEs are local but external tools and storage are in a cloud). The last option can be especially appealing for manufacturing since all real-life operations must be executed in real-time while data storage and other operations are carried out by external services (or agents). Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner **SIEMENS** https://www.siemens.de/de/ Our guest is [Jakub Tomczak](https://www.linkedin.com/in/jakub-tomczak-04305314a/) We highly recommend his [short article ](https://jmtomczak.github.io/blog/21/21_genaisys.html) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence

Shadow's robotic hand is in high demand - among others at Google DeepMind - but the British company wants to scale its hand and is also eyeing other markets. In the podcast, Rich Walker explains what role AI plays in this and why he is happy with hardware. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner **SIEMENS** https://www.siemens.de/de/ Our guest is [Rich Walker](https://www.linkedin.com/in/walkerrich/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence

Peter and Robert report on their highlights from the AI with Purpose Summit and feature some topics that will be published in the coming weeks. For Robert, Rainer Brehm's ‘Industrial Copilot’ development journey was the highlight of the event. Peter spoke to NXAI and Rocket Science. And this is what the event host says? Boris Scharinger shares his impressions with us. In the main section, we learn from the shipping industry how GenAI can be used to develop fundamentally new designs. Our guest: Shahroz Khan from Bar Technologies. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner **SIEMENS** https://www.siemens.de/de/ Some Links Embraceable AI [more](https://embraceable.ai/) Rocket Science [more](https://www.rocket-science.ch/press-releases) NXAI [more](https://www.nx-ai.com/de) Our guest [Shahroz Khan ](https://www.linkedin.com/in/shahrozkhan2020/) Our guest [Boris Scharinger ](https://www.linkedin.com/in/borisscharinger/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence

In this episode we talk about Timeseries and in the main part Prof. Dr. Marco Huber from IPA and Marc Zöller from GFT explain how their Timeseries AutoML tool works. In the news part we offer an an overview from Statistical (ARIMA) through ML (Random Forest, gradient boosting, ...), Neural Networks (LSTM), AutoML and lately Transformers approaches. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner **SIEMENS** https://www.siemens.de/de/ xLSTM Github ([mehr](https://lnkd.in/eG3HWJrs)) auto-sktime ([mehr](https://github.com/Ennosigaeon/auto-sktime)) Our guest [Marco Huber ](https://www.linkedin.com/in/marco-huber-78a1a151/) Our guest [Marc Zöller ](https://www.linkedin.com/in/marc-zoeller/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #sklearn

Robert Weber met Danny at Harting's IoT Week. A discussion quickly broke out about the future of European start-ups in the field of industrial AI. Unfortunately, the conversation was not recorded. That's why we tried again and arranged a recording date. We talked about AI models, data, use cases and the role of AWS. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner **SIEMENS** https://www.siemens.de/de/ Our guest [Danny Smith ](https://www.linkedin.com/in/bdannysmith/)

To identify AI use cases is always a big topic, when discussing industrial AI. Our guest is Dubravko Dolic will help us. He is the Global Team Lead Applied Analytics & AI at Continental Tires. He explains the Continental approach to identify AI use cases. But Dubravko also explains his favorites Industrial AI use cases at Continental. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner **SIEMENS** https://www.siemens.de/de/ Our guest [Dubravko Dolic ](https://www.linkedin.com/in/dubravko-dolic/)

Our guest is Tom Schneider, Global Head of R&D at Trumpf. He explains to Peter Seeberg what Trumpf's AI strategy looks like, which products he is developing with his team and why the machine manufacturer cannot solve everything on its own. Tom also explains existing AI based solutions by Trumpf and how he and his team build an AI Trumpf ecosystem. 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.

Hochreiter's xLSTM paper was eagerly awaited. Now it is here. Quote: "We have enhanced LSTM to xLSTM by exponential gating with memory mixing and a new memory structure. xLSTM models perform favorably on language modeling when compared to state-of-the-art methods like Transformers and State Space Models. The scaling laws indicate that larger xLSTM models will be serious competitors to current Large Language Models that are built with the Transformer technology. xLSTM has the potential to considerably impact other deep learning fields like Reinforcement Learning, Time Series Prediction, or the modeling of physical systems." Industrial applications in particular are eyeing xLSTM. The next step is the commercial distribution of the architecture. We met Timo Gessmann, CTO of Schunk, at the Hannover Messe. He uses a GenAI approach to accelerate labeling. 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.

Zeki's insights are purely data-driven, based on a carefully curated dataset that brings together unique technologies and data to provide insights into 140,000 of the world's top AI scientists and engineers, all with advanced skills and expertise, most of whom are at the early stages of their careers. The market for top AI talent is diversifying and deepening. Large companies hire five times more top AI scientists and engineers than the Big Five (Amazon, Apple, Google, Meta, Microsoft). New national AI champions are emerging outside the US. The healthcare sector, particularly in Europe, has attracted twenty times more top AI talent over the past 10 years. The global market is also shifting away from the strong dominance of the US. National champions are emerging in some major economies, anchoring talent in their own countries. The characteristics of the best AI talent who choose to go abroad or stay close to home. There are consistent global trends that emerge early in the careers of top AI talent. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner **SIEMENS** their Industrial AI approach -> [here ](https://www.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html) Our guest: Thomas Hurd [more](https://www.linkedin.com/in/thomas-hurd-1128031b8/) The report [more](https://www.thezeki.com/the-state-of-ai-talent-2024)

Many companies use GenAI to generate code. Josef Waltl and his team take the opposite approach. They have old code translated. Josef explains how they do this in the podcast interview. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner **SIEMENS** https://www.siemens.de/de/ Our guest Josef Waltl [more ](https://www.linkedin.com/in/josefwaltl/)

Fabian Bause was actually very sceptical at our AI in the Forest event, which was all about AutoML. Then he called us a few weeks ago and we were surprised. Beckhoff offers its customers and also non-Beckhoff users an AutoML tool. The automation company is thus breaking new ground. Has he changed his mind? And if so, why? Fabian explains it to us.