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Projects

Displaying results 1 to 10 of 23.
  1. NoIDLEChatGPT – No-IDLE meets ChatGPT

    NoIDLEChatGPT – No-IDLE meets ChatGPT

    Das Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI) m

  2. 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 Bedeutung sind, ermöglichen immer mehr Einsatzgebie

  3. TwinMaP – Digital twin of a heterogeneous machine park for the complete machining of components

    TwinMaP – Digital twin of a heterogeneous machine park for the complete machining of components

    The TwinMaP project focuses on the development of innovative concepts for digital twins of factory workers in assembly and pre-assembly. While other partners integrate digital twins of machines and sy

  4. 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 making along clinical pathways in the medical doma

  5. 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 integrating robustness and explainability. The aim of the pr

  6. 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 of components in industrial production. The innovat

  7. 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 detect such defects immediately when they occur, th

  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 Action (CSA) funded by the European Commission under

  9. MDZ – Mittelstand-Digital Zentrum Kaiserslautern

    MDZ – Mittelstand-Digital Zentrum Kaiserslautern

    Das Mittelstand-Digital Zentrum Kaiserslautern bietet kleinen und mittleren Unternehmen aus Rheinland-Pfalz und darüber hinaus kostenfreie Unterstützung in Form von Informationen und Anregungen bis hi

  10. PAIRS – Privacy-Aware, intelligent and Resilient Crisis Management

    PAIRS – Privacy-Aware, intelligent and Resilient Crisis Management

    In an increasingly interconnected and dynamic world, crises are inevitable, hard to predict, and pose immense challenges that demand robust, effective and timely management. Over the last decade, vari