Industrial AI Podcast Pixel Komma Ton

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