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Projects

Displaying results 1 to 10 of 133.
  1. Eventful – timely models for individual & societal health

    Eventful – timely models for individual & societal health

    This project focusses on the interconnected problems of measuring and predicting health and well-being. Health and well-being exist at two levels: …

  2. CurAEducate – Nachwuchsförderung & Weiterbildung

    CurAEducate – Nachwuchsförderung & Weiterbildung

    Um aus exzellenten Forschungsergebnissen in curATime innovative Behandlungs- und Präventionskonzepte zu entwickeln und in die klinische Anwendung zu …

  3. curATarget – Atherosklerose-Targets in Thrombo-Inflammation

    curATarget – Atherosklerose-Targets in Thrombo-Inflammation

    Atherosklerose-Targets in Thrombo-Inflammation Partners Universitätsmedizin der Johannes Gutenberg-Universität Mainz TRON - Translationale Onkologie …

  4. CurAIvasc – AI-based analysis of vascular imaging

    CurAIvasc – AI-based analysis of vascular imaging

    Cardiovascular diseases are among the most frequent causes of death worldwide. The pathological basis of almost all cardiovascular diseases is …

  5. CurAISciD – curATime AI science and development

    CurAISciD – curATime AI science and development

    Das erste Ziel von curAIscid ist für den Anwendungsfall Atherothrombose und Atherosklerose dem Problem der kleinen Daten (small data) auf verschiedene …

  6. Rwanda_Weather_events – Rwanda Extreme Weather Events

    Rwanda_Weather_events – Rwanda Extreme Weather Events

    In close collaboration with the Rwanda Space Agency, we develop machine learning tools to understand and monitor extreme weather events. We …

  7. KI-AIM – AI-based anonymization in medicine

    KI-AIM – AI-based anonymization in medicine

    The use of artificial intelligence (AI) offers the opportunity to fundamentally support and revolutionize knowledge-intensive activities. In business …

  8. Carve-DL – KI in der digitalen Forensik

    Carve-DL – KI in der digitalen Forensik

    Transferlab für KI für innere Sicherheit: DeepLearning für Carvingverfahren Teilvorhaben: Deep Learning Verfahren für das Carving und die …

  9. SustainML_EI – Application Aware, Life-Cycle Oriented Model-Hardware Co-Design Framework for Sustainable, Energy Efficient ML Systems

    SustainML_EI – Application Aware, Life-Cycle Oriented Model-Hardware Co-Design Framework for Sustainable, Energy Efficient ML Systems

    This project is based on the insight that in order to significantly reduce the CO2 footprint of ML applications power-aware applications must be as …

  10. SustainML_SDS – Application Aware, Life-Cycle Oriented Model-Hardware Co-Design Framework for Sustainable, Energy Efficient ML Systems