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Research Topics: Data Management & Analysis Fields of application: Industrie 4.0
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Displaying results 1 to 10 of 55.
  1. EINHORN – Entwicklung von menschenzentrierten Systemen zur dialogorientierten Interaktion mit erklärbaren KI-Methoden für Prozessintelligenz

    EINHORN – Entwicklung von menschenzentrierten Systemen zur dialogorientierten Interaktion mit erklärbaren KI-Methoden für Prozessintelligenz

    Die rasante Entwicklung im Bereich KI, sowohl bei Maschinellem Lernen und sogenannten Large Language Models (LLM), die für die Sprachinteraktion von …

  2. DACE – Datenkompetenzzentrum Circular Economy

    DACE – Datenkompetenzzentrum Circular Economy

  3. No-IDLE – Interactive Deep Learning Enterprise

    No-IDLE – Interactive Deep Learning Enterprise

    In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision …

  4. InterOpera AAS – InterOpera - Teilmodelle der Asset Administration Shell

    InterOpera AAS – InterOpera - Teilmodelle der Asset Administration Shell

    Das Hauptziel des Auftrages ist die Arbeit eines sogenannten Methodenberaters für die methodische Leitung eines Projekts zur Entwicklung von …

  5. EASY – Energy-efficient analytics and control processes in the dynamic edge-cloud continuum for industrial manufacturing

    EASY – Energy-efficient analytics and control processes in the dynamic edge-cloud continuum for industrial manufacturing

    The EASY project aims at the energy-efficient analysis and execution of manufacturing and control processes in the context of dynamic industrial …

  6. MOMENTUM – Robust Learning with Hybrid AI for Trustworthy Interaction of Humans and Machines in Complex Environments

    MOMENTUM – Robust Learning with Hybrid AI for Trustworthy Interaction of Humans and Machines in Complex Environments

    MOMENTUM is a research project dedicated to TRUSTED-AI, which aims to advance the development and application of artificial intelligence by …

  7. ML-Synthom – Fertigungsnahes Maschinelles Lernen für die Automobilzuliefererindustrie durch synthetische Generierung von Oberflächen und Materialien

    ML-Synthom – Fertigungsnahes Maschinelles Lernen für die Automobilzuliefererindustrie durch synthetische Generierung von Oberflächen und Materialien

    Ensuring industrial quality through new research The ML-SYNTHOM project is developing an AI-based test procedure for quality assurance for new types …

  8. Adra-e – AI, Data and Robotics ecosystem

    Adra-e – AI, Data and Robotics ecosystem

    Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support …

  9. AIQUAMA – AI-based Quality Management for Smart Factories

    AIQUAMA – AI-based Quality Management for Smart Factories

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

  10. QUASIM – QC-Enhanced Service Ecosystem for Simulation in Manufacturing

    QUASIM – QC-Enhanced Service Ecosystem for Simulation in Manufacturing

    Quantum computing (QC) is a technology developing rapidly in research, but has also raised initial expectations in industrial applications. The …

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