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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 comprehensively from the application layer to the physi

  2. 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

  3. DECODE – Continual learning for visual and multi-modal encoding of human surrounding and behavior

    DECODE – Continual learning for visual and multi-modal encoding of human surrounding and behavior

    Machine Learning, and in particular Artificial Intelligence (AI) in Deep Learning, has revolutionized Computer Vision in almost all areas. These include topics such as motion estimation, object recogn

  4. ErgoBest – Erhebung ergonomischer Best Practices in industriellen Arbeitsprozessen  mittels Internet-of-Things und Mixed Reality

    ErgoBest – Erhebung ergonomischer Best Practices in industriellen Arbeitsprozessen mittels Internet-of-Things und Mixed Reality

    MOTIVATION Ergonomische Fehlhaltungen tragen zu einem erhöhten Krankenstand und einem gesundheitsbedingten frühen Ausscheiden aus der Arbeitswelt bei. Häufig scheitern Lösungsansätze in der Realität a

  5. KI@Home – Prädiktion von adverse events mittels Künstlicher Intelligenz und Ambient Assisted Living-Systemen in der Häuslichkeit von pflegebedürftigen Personen

    KI@Home – Prädiktion von adverse events mittels Künstlicher Intelligenz und Ambient Assisted Living-Systemen in der Häuslichkeit von pflegebedürftigen Personen

    The goal is to develop a risk assessment module for a smart home platform with a focus on "smart ageing". A collection of sensors is installed in the volunteers' flats and their base health status ass

  6. ASCAPE – Artificial intelligence Supporting CAncer Patients across Europe

    ASCAPE – Artificial intelligence Supporting CAncer Patients across Europe

    The project objective is to take advantage of the advances in Big Data, Artificial Intelligence and Machine Learning to support cancer patients’ quality of life and health status. To this end, it will

  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 can be made about their correctness. In contrast, t

  8. VerSys – A Sound Verification Platform for Early Software Development for RISC-V based Systems

    VerSys – A Sound Verification Platform for Early Software Development for RISC-V based Systems

    The aim of the VerSys project is to develop a consistent platform for early software development based on RISC-V technology, an instruction set architecture for microprocessors which has been develope