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Projects

Displaying results 1 to 7 of 7.
  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. 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

  3. 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

  4. 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

  5. GreifbAR – Greifbare Realität - geschickte Interaktion von Benutzerhänden und -fingern mit realen Werkzeugen in Mixed-Reality Welten

    GreifbAR – Greifbare Realität - geschickte Interaktion von Benutzerhänden und -fingern mit realen Werkzeugen in Mixed-Reality Welten

    On 01.10.2021, the research project GreifbAR started under the leadership of the DFKI (research area Augmented Reality). The goal of the GreifbAR project is to make mixed reality (MR) worlds, includin

  6. KIMBi – Auf dem Weg zur KI-gestützten intelligenten Magnetresonanz-Bildgebung

    KIMBi – Auf dem Weg zur KI-gestützten intelligenten Magnetresonanz-Bildgebung

    Es soll ein System entwickelt werden, das die Magnetresonanztomographie (MRT) für KI- Anwendungen zugänglich macht. Die MRT ist die flexibelste und variantenreichste Bildgebungsmodalität in der medizi

  7. 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