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Research Topics: Human-Machine Interaction Fields of application: Industry 4.0
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Displaying results 11 to 20 of 58.
  1. Detecting anomalies and errors in the production process at an early stage – AIQUAMA research project launched.

    Detecting anomalies and errors in the production process at an early stage – AIQUAMA research project launched.

    Anomalies and defects in the production process cause high costs and have a negative impact on sustainability and productivity. If it is possible to ...

  2. 20,000 euros for a household robot? – Prof. Jan Peters in an expert interview

    20,000 euros for a household robot? – Prof. Jan Peters in an expert interview

    What are the challenges of autonomous intelligent systems, why can robots and humans learn so much from each other when playing table tennis and air ...

  3. Review of the "Hackathon at Interschutz"

    Review of the "Hackathon at Interschutz"

    Hacking for civil and disaster protection

  4. Shaping Digital Ecosystems Globally – Ten Years of "Industrie 4.0"

    Shaping Digital Ecosystems Globally – Ten Years of "Industrie 4.0"

    Article by DFKI CEO Prof. Dr. Antonio Krüger in Unternehmermagazin, issue 1/2-2022.

  5. SmartFactory-KL: Die Verwaltungsschale – das Herzstück von Production Level 4

    SmartFactory-KL: Die Verwaltungsschale – das Herzstück von Production Level 4

    Die Verwaltungsschalte entwickelt sich zur Schlüsseltechnologie für die Umsetzung neuer Produktionsarchitekturen. Aus dem digitalen Typenschild ...

  6. Professor Wahlster accepted as foreign member of the Engineering Academy of the Czech Republic

    Professor Wahlster accepted as foreign member of the Engineering Academy of the Czech Republic

    On November 23, 2021, Professor Dr. Dr. h.c. mult. Wolfgang Wahlster was accepted as a foreign member of the Engineering Academy of the Czech Republic ...

  7. Aussichtsreiche Algorithmen – Forschungsfelder und Forschungsziele Künstlicher Intelligenz

    Aussichtsreiche Algorithmen – Forschungsfelder und Forschungsziele Künstlicher Intelligenz

    DFKI CEO Prof. Dr. Antonio Krüger zu den Auswirkungen der Corona-Pandemie, zu hybriden KI-Systemen und aussichtsreichen Ansätzen bei der Entwicklung ...

  8. DFKI Laboratory Niedersachsen is completed: Interactive Machine Learning research department opens in Oldenburg

    DFKI Laboratory Niedersachsen is completed: Interactive Machine Learning research department opens in Oldenburg

    The DFKI Laboratory Niedersachsen continues its growth: With the new, fourth research department Interactive Machine Learning (IML), Prof. Dr.-Ing. ...

  9. GAIA-X project begins in Kaiserslautern – smartMA-X

    GAIA-X project begins in Kaiserslautern – smartMA-X

    - SmartFactoryKL developing Shared Production

    - Production Level 4 demonstrator – first production unit connected to GAIA-X

  10. Künstliche Intelligenz analysiert wertvolle Inhaltsstoffe

    Künstliche Intelligenz analysiert wertvolle Inhaltsstoffe

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