エピソード

  • NeurIPS 24: Faster than Flash Attention

    NeurIPS 24: Faster than Flash Attention
    2024/12/18
    At the end of the year, Sepp Hochreiter looks back on the NeurIPS. We talk about the most interesting episodes and what may come next.
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    46 分
  • Symphony AI on the shopfloor

    Symphony AI on the shopfloor
    2024/12/11
    From grounded AI models to explainable AI and overcoming data silos, the conversation dives into the nuts and bolts of creating domain-specific AI solutions. Balancing people, processes, and technology, this episode sheds light on the challenges and opportunities in leveraging AI for manufacturing reliability, maintenance, and optimization.
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    40 分
  • OEE and LLaMA

    OEE and LLaMA
    2024/12/04
    Our guest is Joern Steinbeck and we discuss his GenAI approach with LLaMA. Joern explains in the podcast how he uses the LLM for OEE optimisation and what he has learned.
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    19 分
  • NeuralDEM: Deep Learning for Simulation

    NeuralDEM: Deep Learning for Simulation
    2024/11/27
    From silos in the food industry to fluidized bed reactors in the chemical sector, Johannes explains how neural networks are pushing the boundaries of numerical simulation, why real-time engineering could soon become a reality, and what this means for digital twins. A conversation about science, visions, and the potential to rethink entire industries.
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    35 分
  • 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