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Projects

Displaying results 1 to 8 of 8.
  1. FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

    FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

    FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend …

  2. dAIEDGE – A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge

    dAIEDGE – A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge

    The dAIEDGE Network of Excellence (NoE) seeks to strengthen and support the development of the dynamic European cutting-edge AI ecosystem under the …

  3. 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 …

  4. AW4.0 – Autowerkstatt4.0

    AW4.0 – Autowerkstatt4.0

    In the project Autowerkstatt 4.0 (AW 4.0), a consortium consisting of companies and research institutes is developing a platform for the trustworthy …

  5. INSYS – INTerpretable monitoring SYStems

    INSYS – INTerpretable monitoring SYStems

    The INSYS project is concerned with the interpretability of learned models and the resulting possibilities for self-monitoring of complex robotic …

  6. STAR – Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

    STAR – Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

    STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable …

  7. CAMELOT – Continuous Adaptive Machine-Learning of Transfer of Control Situations

    CAMELOT – Continuous Adaptive Machine-Learning of Transfer of Control Situations

    A remaining major challenge with autonomous systems is the handling of situations that the system cannot handle on its own. Up to now, this transfer …

  8. Fast&Slow – Combination of Symbolic and Subsymbolic Methods

    Fast&Slow – Combination of Symbolic and Subsymbolic Methods

    Deep learning methods are used in many application areas and work very efficiently after a training phase. However, in general no reliable statement …