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Industrial AI Podcast

Robert Weber / Peter Seeberg

Industrial AI Podcast

A weekly Technology podcast
Good podcast? Give it some love!
Industrial AI Podcast

Robert Weber / Peter Seeberg

Industrial AI Podcast

Episodes
Industrial AI Podcast

Robert Weber / Peter Seeberg

Industrial AI Podcast

A weekly Technology podcast
Good podcast? Give it some love!
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Episodes of Industrial AI Podcast

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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
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 experti
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, c
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 automatio
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 cruci
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
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 leve
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
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 Pod
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 h
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
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 Heilbr
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. Y
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. Azur
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 u
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 proje
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 in
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-indust
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 l
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 liste
They discussed the role of OEE, the role of AI and how to measure success of AI projects. The Industrial AI Podcast informs you weekly about trends, people and ides in the space of Industrial AI.Thanks for listening. We welcome suggestions fo
Attention, dear product managers from the industry. This episode is just for you. Anna Maria Brunnhofer-Pedemonte explains us their AI ProductOps-Approach and why the industrial sector needs them.Thanks for listening. We welcome suggestions f
Together with partners from 33 academic labs, Deepmind has pooled data from 22 different robot types to create the Open X-Embodiment dataset and RT-X model. Prof. Dr. Abhinav Valada explains the results and what they mean for robotics in the fu
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