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Projects

Displaying results 1 to 7 of 7.
  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. Robdekon2 – Robdekon Kompetenzzentrum Phase 2

    Robdekon2 – Robdekon Kompetenzzentrum Phase 2

    Roboter und Menschen sollen gemeinsam in Rückbau- oder Dekontaminationsvorgängen industrieller Anlagen eingesetzt werden Partners Fraunhofer IOSB, …

  3. REXASI-PRO – REliable & eXplAinable Swarm Intelligence for People with Reduced mObility

    REXASI-PRO – REliable & eXplAinable Swarm Intelligence for People with Reduced mObility

    Artificial intelligence (AI) is being applied widely in many domains and there is a need to realize public trust in these systems. Calls are made to …

  4. 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 …

  5. 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 …

  6. 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 …

  7. 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 …