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Projects

Displaying results 1 to 10 of 15.
  1. RAASCEMAN – Resilient and Adaptive Supply Chains for Capability-based Manufacturing as a Service Networks

    RAASCEMAN – Resilient and Adaptive Supply Chains for Capability-based Manufacturing as a Service Networks

    The manufacturing sector faces challenges such as increasing international competition, political tensions, material shortages or unpredictable natural events. The RAASCEMAN project aims to mitigate a

  2. SC_Kleer – MultiGrasp: Multimodal Grasp Type Prediction for Dexterous Multi-fingered Robotic Grasping
  3. NEARBY – Noise and variability-free BCI systems for out-of-the-lab use

    NEARBY – Noise and variability-free BCI systems for out-of-the-lab use

    Brain-computer interfaces, or BCIs for short, offer a promising possibility for human-machine interaction based on brain signals, especially as an interface for the operation of assistance systems for

  4. FedWell – Life-Long Federated User and Mental Modeling for Health and Well-being

    FedWell – Life-Long Federated User and Mental Modeling for Health and Well-being

    Adaptive and personalized AI systems in healthcare and well-being rely on information about users and usage situations to provide the best possible support. But, in situations of illness, pain, or whe

  5. SC_INCOW – Influence of Cognitive Workload in Intent Recognition during Robot-Assisted Surgery
  6. AIQUAMA – AI-based Quality Management for Smart Factories

    AIQUAMA – AI-based Quality Management for Smart Factories

    Anomalies and defects in the production process cause high costs and have a negative impact on sustainability and productivity. If it is possible to detect such defects immediately when they occur, th

  7. 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

  8. SC_Gomaa – TeachTAM: Machine Teaching with Hybrid Neurosymbolic Reinforcement Learning; The Apprenticeship Model

    SC_Gomaa – TeachTAM: Machine Teaching with Hybrid Neurosymbolic Reinforcement Learning; The Apprenticeship Model

    Recent advances in Machine learning (specifically Computer Vision and Reinforcement Learning) allowed robots to understand objects and the surrounding environment on a perceptual non-symbolic level (e

  9. MarKIeR – Feasibility Study on the Use of AI Tools to Support the State Media Authorities in Verifying the Implementation of the Transparency Requirements of the Medienstaatsvertrag by Media Intermediaries.

    MarKIeR – Feasibility Study on the Use of AI Tools to Support the State Media Authorities in Verifying the Implementation of the Transparency Requirements of the Medienstaatsvertrag by Media Intermediaries.

    New regulations in the Medienstaatsvertrag (MStV) present the state media authorities with new, diverse tasks in the area of media intermediaries: These must disclose what happens in the background wh

  10. Ophthalmo-AI – Intelligent, Cooperative Medical Decision Support in Ophthalmology

    Ophthalmo-AI – Intelligent, Cooperative Medical Decision Support in Ophthalmology

    The goal of Ophthalmo-AI is to develop better diagnostic and therapeutic decision support in ophthalmology through effective collaboration of machine and human expertise (Interactive Machine Learning