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Research Topics: Machine Learning & Deep Learning Fields of application: Smart Home & Assisted Living
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Displaying results 11 to 20 of 22.
  1. ENGAGE – NExt GeNeration ComputinG Environments for Artificial intelliGEnce

    ENGAGE – NExt GeNeration ComputinG Environments for Artificial intelliGEnce

    ENGAGE is a project within the framework of the strategic research and innovation agenda of DFKI and Inria in the field of artificial intelligence. …

  2. 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 …

  3. 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. …

  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. …

  5. 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, …

  6. 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 …

  7. 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’ …

  8. 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 …

  9. 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 …

  10. SUITE – Intelligent, adaptive assistance services based on smart meters and building automation data

    SUITE – Intelligent, adaptive assistance services based on smart meters and building automation data

    SUITE tests concepts of machine learning and multi-agent technology in Smart Home. On the basis of smart meter data, intelligent audio systems, …

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