Ki In Der Industrie

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 automatio

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

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 ach

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 htt

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_sour

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**