エピソード

  • Redefine Safety and AI with xLSTM and SLAM

    Redefine Safety and AI with xLSTM and SLAM
    2024/11/20
    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.
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    35 分
  • AI in MedTech: 20 % faster ramp up time

    AI in MedTech: 20 % faster ramp up time
    2024/11/13
    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.
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    1 時間
  • Agentic Process Automation for Industrial Applications

    Agentic Process Automation for Industrial Applications
    2024/11/06
    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.
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    47 分
  • ASML: AI defined machines

    ASML: AI defined machines
    2024/10/30
    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.
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    43 分
  • AI at the Danube

    AI at the Danube
    2024/10/23
    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/))
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    30 分
  • Trumpf's AI education offensive

    Trumpf's AI education offensive
    2024/10/16
    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)
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    58 分
  • AI Nobel Prizes and will XAI become mandatory for Industrial AI?

    AI Nobel Prizes and will XAI become mandatory for Industrial AI?
    2024/10/09
    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
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    56 分
  • Vanderlande: How Industrial AI Is Transforming Warehouses

    Vanderlande: How Industrial AI Is Transforming Warehouses
    2024/10/02
    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
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    1 時間 15 分