Spleenlab is a highly specialized AI software company founded with the Idea to redefine Safety and AI. Since April 2018, the company has been primarily engaged in the development and distribution of safe Machine Learning algorithms for the semi- and fully autonomous mobility, especially the flight of unmanned aerial vehicles (UAV), helicopters, Air Taxis, driving vehicles and beyond. The groundbreaking fusion of different sensors, such as camera, laser and radar by means of Machine Learning is the core business of the company. The generated SLAM (Simultaneous Localization and Mapping) enables completely new applications and products for any kind of autonomous mobility.

This episode unpacks how AI isn’t just about futuristic robotics but is already reshaping industries as unassuming as brooms and brushes. What makes a self-learning system adaptable in such high-stakes settings? Why does it matter that AI “never stops learning”? Join us as we uncover the unexpected depth behind automation and explore how cutting-edge AI is changing MedTech manufacturing from the ground up.

In a fascinating conversation, Dr. Christian Gilcher guides us through the differences between RPA (Robotic Process Automation) and the more advanced APA approach, which uses AI agents to dynamically manage complex processes in a compliant and efficient manner. They discuss how APA not only solves cost and capacity issues in regulated industries but also provides an innovation boost within the industry. A highlight: APA’s potential goes far beyond optimization, paving the way for entirely new industrial processes in the future.

We talk about AI research at ASML, new generations of machines, federated learning, MLOps and many more topics. In the news part Peter Seeberg and Robert Weber discussed the RosCon, NVIDIAs show and Microsoft´s engagement in Germany, Honeywell and Siemens.

From explainable AI to organizing massive AI projects, this isn’t just about tech; it’s about solving real-world challenges. Listen in as they share candid discussions, lessons learned, and visions for the future, all without the buzzword hype—just real insights from people making AI work in industry. 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 event in January in Frankfurt ([more](https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/))

He explains the need for widespread AI knowledge across departments to enable data-driven innovation, starting with young apprentices and dual-study students. Ottnad highlights the importance of understanding data quality, hands-on experience, and interdisciplinary collaboration. 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 event in January in Frankfurt ([more](https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/)) Our guests are [Dr. Jens Ottnad](https://www.linkedin.com/in/dr-jens-ottnad-9b308418b?originalSubdomain=de)

The basis for the discussion is a paper by Prof. Dr. Marco Huber, which was published a few weeks ago: How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law. 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 event in January in Frankfurt ([more](https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/)) Our guests are [Marco Huber ](https://www.linkedin.com/in/marco-huber-78a1a151/) and [Tom Cadera ](https://www.linkedin.com/in/tom-cadera-05948636/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #Safety #NVIDIA #xLSTM #IndustrialAI #bluecollar #Transformer #HPE #Compute #Hardware #robotics #vision #PLC #Automation #Robotics #IndustrialAIPodcast #Vanderlande #Warehouse #Logistics #XAI #FraunhoferIPA

Bas shares insights on how AI is enhancing control rooms, optimizing operational workflows, and addressing challenges like data sharing. The discussion also explores future trends, including the potential of AI-based simulation and reinforcement learning for fully automated warehouses. 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 event in January in Frankfurt ([more](https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/)) Our guest is [Bas Coenen ](https://www.linkedin.com/in/samcoenen/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #Safety #NVIDIA #xLSTM #IndustrialAI #bluecollar #Transformer #HPE #Compute #Hardware #robotics #vision #PLC #Automation #Robotics #IndustrialAIPodcast #Vanderlande #Warehouse #Logistics

Xia is doing his doctorate at the University of Stuttgart at the Institute for Industrial Automation and Software Engineering. He investigates how to apply the LLM reasoning capability to make the simulation models more intelligent. Based on our research exploration, he proposed a concept design consisting of LLM-agents system and digital twins to enhance the intelligence and user-friendliness of industrial software systems.

Rainer Brehm is the CEO of the Factory Automation Business Unit at Siemens. His team is behind the Industrial Copilot. We talk to Rainer about the monetization of GenAI, development challenges, price-sensitive customers and the next stage of development towards AI 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 event in January in Frankfurt ([more](https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/)) Our guest is [Rainer Brehm ](https://www.linkedin.com/in/rainer-brehm/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #Safety #NVIDIA #xLSTM #IndustrialAI #bluecollar #Transformer #HPE #Compute #Hardware #robotics #vision #PLC #Automation #Robotics #IndustrialAIPodcast

Only a few people in the region embody the Eindhoven ecosystem like Albert van Breemen. He studied there, worked for Philips, ASML and then set up his own company. We talk about robotics, vision and AI for the food industry. 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 [Albert van Breemen ](https://www.linkedin.com/in/albertvanbreemen/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #Safety #NVIDIA #xLSTM #IndustrialAI #bluecollar #Transformer #HPE #Compute #Hardware #robotics #vision

In the news section, we talk about humanoids, about Aleph Alpha, about XAI and HMI and the demands of the AI Act for explainability. We talk about AI agents, robotics and bit about AI operations 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 guests: [Kathrin Hoesli ](https://www.linkedin.com/in/kathrinhoesli/) [Max Schönsteiner ](https://www.linkedin.com/in/max-sch%C3%B6nsteiner-aa55a977/) [XAI Paper](https://arxiv.org/abs/2404.12762v1) [AI Agents Article by McKinsey](https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/why-agents-are-the-next-frontier-of-generative-ai) [Robots on Hugging Face](https://www.linkedin.com/posts/bartdewitte_wow-the-democratisation-of-robotics-has-ugcPost-7233096511486627840-OqaP?utm_source=share&utm_medium=member_desktop) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #Safety #NVIDIA #xLSTM #IndustrialAI #bluecollar #Transformer #Compute #Hardware

We still have something for the summer break! One prompt and the song is ready. This will change the music industry. Peter is a big Prince fan, so we came up with something for the summer. Kudos to Tristan Behrens and Suno.AI. Try it out. We were fascinated by it.

Facilis.AI developed a transformative GenAI product and is working with 10 top tier manufacturers. They help manufacturers turn AI into tangible ROI in just weeks, by transforming real-time manufacturing data and domain knowledge into actionable insights within minutes. 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 [Yousef Mohassab ](https://www.linkedin.com/in/yousefmohassab/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #Safety #NVIDIA #xLSTM #IndustrialAI #bluecollar #Transformer #HPE #Compute #Hardware

Utz-Uwe Haus takes us with him and explains what the industrial sector will need in terms of infrastructure in the coming years. But Uwe doesn't just talk about hardware, we also talk about models, new architecture and computing power. 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 [Utz-Uwe Haus ](https://www.linkedin.com/in/uuhaus/) #machinelearning #ai #aimodel #industrialautomation #manufacturing #automation #genai #datascience #mlops #llm #IndustrialAI #artificialintelligence #Safety #NVIDIA #xLSTM #IndustrialAI #bluecollar #Transformer #HPE #Compute

Our guest is Prof. Dr. Johannes Brandstetter. We met Johannes Brandstetter at the AI with purpose summit by Siemens. Peter Seeberg discussed with him the latest developments in simulation and AI. In the newspart we talk about a timeseries paper using xLSTM, Robert Weber talks about a new tool by Continental using a vision approach for sidewall readings and the new company by Fei-Fei Li Xdash.ai.

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.

We can't give anything away yet, but anyone who was at our AI in the Forest event will remember. You'll have to be patient until Monday. See you at the fair.

Silo AI and TurkuNLP are developing a family of multilingual open source LLMs with the aim of strengthening Europe's digital sovereignty and democratising access to LLMs. Developing baseline models that are in line with European values is crucial to this effort to ensure that they are based on data and information that accurately represents the different languages, citizens, organisations and cultural landscape of the European Union. This approach is not only in line with European values, but also enables sovereignty over how downstream applications and value are created. The success was attributed to the combination of the low-resource Finnish language with resource-rich languages. The team worked to determine the optimal frequency of data reuse for low-resource languages during training, and integrated translated text pairs from English and Finnish. This strategy, which relies on a cross-linguistic signal to improve the model's understanding of the relationships between the languages, proved crucial in achieving excellent performance in the low-resource languages without compromising performance in English.

AINode is the third internal node after ConfigNode and DataNode in Apache IoTDB. This node extends the capability of IoTDB to perform machine learning analysis on time series data by interacting with the DataNode and ConfigNode clusters. AINode allows the integration of existing machine learning models by registering them and executing time series analysis tasks through simple SQL statements on specified time series data. This seamlessly combines model creation, management, and inference within the database engine. The framework currently supports common machine learning algorithms or proprietary models for typical time series analysis scenarios like time series prediction and anomaly detection.

In his group they conduct research to create intelligent systems, which can work autonomously and in collaboration with humans to increase the safety, reliability, and productivity of industrial plants and processes. For this purpose, they leverage process modelling, model predictive control, optimization, and machine learning.

In the podcast, we talk about the architecture of the Industrial Copilot, how Schaeffler wants to use it, why the customer provides data, how it is used and what the next steps are in the area of Industrial AI and GenAI.

In this episode, Peter Seeberg talks to Stefan Suwelack about RAG for industry, the role of data and the Data Centric Approach and about the Industrial AI Canvas. Stefan works for Renumics. He and his team work for companies like Rehau, Festool or Polytec. We thank our partner **HANNOVER MESSE** https://www.hannovermesse.de/de/ Job offering: Heilbronn is looking for a professor https://cdn.hs-heilbronn.de/ce3c0933328f570c/d9e7413e6a15/232-P-IT.pdf Stefan Suwelack https://www.linkedin.com/in/stefansuwelack/

Jens Wonneberger is the CISO of automotive supplier Mann+Hummel. He explains to us what rules the company has set itself when it comes to GenAI and LLMs. Jens Wonneberger is a big AI advocate, but we've never had a CISO on the Industrial AI Podcast. But the Mann+Hummel rules can certainly help other companies too. In the news section, we talk about BCW24 and one of the highlights was the announcement that Landing AI is a new partner of the crtlX ecosystem. But we also talk about Harting's Industrial Ethernet Week and ask ourselves: Are models ultimately a commodity?

Johannes Brandstetter is leading a group “AI for data-driven simulations” at the Institute for Machine Learning at the Johannes Kepler University (JKU) Linz. Additionally, he is a Head of Research (AI4Simulation) at NXAI - the new European AI hub in Linz (Austria). Quote: I am firmly convinced that AI is on the cusp of disrupting simulations at industry-scale. Every day thousands and thousands of compute hours are spent on turbulence modeling, simulations of fluid or air flows, heat transfer in materials, traffic flows, and many more. Many of these processes follow similar underlying patterns, but yet need different and extremely specialized software to simulate. Even worse, for different parameter settings the costly simulations need to be run at full length from scratch. 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/ Job offering: Heilbronn is looking for a professor https://cdn.hs-heilbronn.de/ce3c0933328f570c/d9e7413e6a15/232-P-IT.pdf Johannes Brandstetter https://www.linkedin.com/in/johannes-brandstetter-55741b116/

We are starting a small simulation special. Last week it was all about batteries. This week the focus is on gas turbines by Siemens Energy. Behnam Nouri is the AI expert at Siemens Energy. He talks to Peter Seeberg about the simulation of gas turbines and explains how he and his team were able to reduce the calculation time for simulations using machine learning. Peter is traveling with an unreliable Internet connection. So the news part is a bit shorter. Robert Weber talks about Sora and what the new genAI model means for the engineering process. 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/ Job offering: Heilbronn is looking for a professor https://cdn.hs-heilbronn.de/ce3c0933328f570c/d9e7413e6a15/232-P-IT.pdf Sora Video https://www.youtube.com/watch?v=fG3IE9dkyKY Stefan Suwelacks Posts https://www.linkedin.com/feed/update/urn:li:activity:7164215963301703680?utm_source=share&utm_medium=member_desktop Benedict Evans https://www.ben-evans.com/presentations Behnam Nouri https://www.linkedin.com/in/behnam-nouri-33381063/

In this interview, Richard Ahlfeld explains his technological approach and how the company has developed in recent years. He explains the algorithms behind his solution and where Industrial AI is heading. We have another job offering: In Heilbronn they are looking for a new professor for "RESOURCENEFFICIENT IT IN HARDWARE AND SOFTWARE". 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/ Job offering: Heilbronn is looking for a professor https://cdn.hs-heilbronn.de/ce3c0933328f570c/d9e7413e6a15/232-P-IT.pdf Richard Ahlfeld https://www.linkedin.com/in/richard-ahlfeld/

As things stand today: "We have to scale. We first test on small data sets, then on medium-sized sets and finally on the very large sets," explains Hochreiter. The XLSTM technology performs "very well" on the small and medium-sized data sets. You have to beat all models on the market, says Linz. Over 1,000 GPUs around the world are currently computing the development from Upper Austria. The time horizon is ambitious: The tests on the smaller and medium-sized data sets should be completed by the end of March. "The large data sets will then take centre stage in June," explains Albert Ortig, Managing Director of NXAI. 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/ Albert Ortig [Contact](https://www.linkedin.com/in/aajjoo/) Sepp Hochreiter [Contact](https://www.linkedin.com/in/sepp-hochreiter-41514846/)

For sure, Microsoft is interested in providing European companies with AI models. But Xiaopeng has good arguments. In this expanded role, he leads the business growth and go-to-market across AI services (e.g. Azure OpenAI), databases (e.g. Azure Cosmos DB), containers (e.g. Azure Kubernetes Service) and serverless (e.g. Azure Functions). 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/ Xiaopeng Li (李小鹏) [Contact](https://www.linkedin.com/in/xiaopeng-li/)

Robert Weber visited Stefan Fischereder from KEBA. Stefan is a software developer and is responsible for the Linz-based company's Industrial AI division. The Austrians rely on an AI module with a Hailo chip and Stefan explains the strategy to us. KEBA has a turnover of around 560 million euros. 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](https://www.linkedin.com/in/stefan-fischereder-b54a06105/))

At Beckhoff, they call the approach with AI-supported engineering. The result is: TwinCAT Chat. With TwinCAT Chat, the so-called Large Language Models, such as ChatGPT from OpenAI, can be conveniently used for the development of a TwinCAT project. This increases productivity in control programming. But: Beckhoff does not only rely on OpenAI. Other OS LLMs are also used. The Industrial AI Podcast reports weekly on the latest developments in AI and machine learning for the engineering, manufacturing, 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. 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](https://www.linkedin.com/in/fabian-bause-15aa2b213/) Contact to Jannis Doppmeier [here](https://www.linkedin.com/in/jannis-d-0b9851226/)

Many people wondered why Bosch is investing in Aleph Alpha, where are the models trained and why don't they use open source LLMs? We asked him. Some GenAI use cases: •Service: When you call Bosch, a LLM and a human will help you. •Quality inspection: synthetic data for vision systems. •Software development In the news part we discussed the new Figure01 robot, talked about RAG, Hugging Face and the German journalist Nils Minkmar. 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. 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/ **Newspart** The articel we discussed by Nils Minkmar / [LINK ](https://steadyhq.com/de/nminkmar/posts/fd32536b-95e5-4e10-9888-eab0f2b4667e) The Video of Figure01 / [LINK](https://www.linkedin.com/posts/figure-ai_figure-status-update-ai-trained-coffee-ugcPost-7149750986197061632-T1hT?utm_source=share&utm_medium=member_desktop) **Contact** Dr. Andreas Nauerz / [LINK](https://www.linkedin.com/in/nauerz)

Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner Siemens **OUR EVENT IN JANUARY ** https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/ !!! 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 last episode of the year: Peter spoke to Hans Uszkoreit from Nyonic about Industrial Grade Foundation Models. In the news part, we talk about the joint database of Japanese robotics manufacturers. We talk about Nvidia, AMD, Keba, LLMs and look back at the year 2023. And we congratulate our interview guest Jakub Tomczak on becoming Program Chair at the next NeurIPS. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. **We wish you all a merry Christmas and a happy new year! ** We thank our partner Siemens **OUR EVENT IN JANUARY ** https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/ **The paper we discussed** https://arxiv.org/abs/2310.02727v1 !!! 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.

Robert talked to Dr. Bernhard Nessler, Research Manager Deep Learning & Certification at SCCH, and to Thomas Doms from TÜV AUSTRIA about the AI Act. Both work for Trustifai - a joint venture by SCCH, JKU Linz and TÜV Austria. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner Siemens **OUR EVENT IN JANUARY ** https://www.hannovermesse.de/de/rahmenprogramm/special-events/ki-in-der-industrie/ Contact Dr. Bernhard Nessler: https://www.linkedin.com/in/bernhard-nessler-linz-austria/?originalSubdomain=at Contact Thomas Doms: https://www.linkedin.com/in/thomas-doms-30890b2a/?originalSubdomain=at We thank our team: Barbara, Anne and Michael! !!! 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.