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Projects

Displaying results 1 to 10 of 13.
  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. BERTHA – BEhavioural Replication of Human drivers for CCAM

    BERTHA – BEhavioural Replication of Human drivers for CCAM

    The Horizon Europe project BERTHA kicked off on November 22nd-24th in Valencia, Spain. The project has been granted €7,981,799.50 from the European Commission to develop a Driver Behavioral Model (DBM

  4. 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

  5. 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

  6. FLUENTLY – Fluently - the essence of human-robot interaction

    FLUENTLY – Fluently - the essence of human-robot interaction

    Fluently leverages the latest advancements in AI-driven decision-making process to achieve true social collaboration between humans and machines while matching extremely dynamic manufacturing contexts

  7. 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

  8. M-RoCK – Human-Machine Interaction Modeling for Continuous Improvement of Robot Behavior

    M-RoCK – Human-Machine Interaction Modeling for Continuous Improvement of Robot Behavior

    The current developments in digitalization, AI-based data processing, and powerful hardware lay the groundwork for future embodied AI assistants. These intelligent robots must be versatile, adaptive a

  9. 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 human-centric AI systems in real-life manufacturing environme

  10. RACKET – Rare Class Learning and Unknown Events Detection for Flexible Production

    RACKET – Rare Class Learning and Unknown Events Detection for Flexible Production

    The RACKET project addresses the problem of detecting rare and unknown faults by combining model-based and machine learning methods. The approach is based on the assumption that a physical or procedur