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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. 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. 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. Open6GHub – 6G for Society and Sustainability

    Open6GHub – 6G for Society and Sustainability

    The project "Open6GHub" develops a 6G vision for sovereign citizens in a hyper-connected world from 2030. The aim of the Open6GHub is to provide …

  6. DOF-Adaptiv – Adaptive Mapping of Degrees of Freedom as User Interface for an Assistive Robot

    DOF-Adaptiv – Adaptive Mapping of Degrees of Freedom as User Interface for an Assistive Robot

    An assistive robot arm is a valuable support for people with severely reduced mobility of arm and hand, but exhausting and time-consuming to use, …

  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 …