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Research Topics

Machine Learning & Deep Learning

Machine learning systems act independently and give recommendations based on learned knowledge from large amounts of data. When deep neural networks are used in machine learning, this is referred to as deep learning. The basis for such CPU-intensive methods is the combination of special algorithms, a powerful infrastructure and training data.

Projects

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  1. gEndurance - gEndurance - AI-supported gender-specific behavioural interventions for personalised therapy of chronic diseases

    The two chronic widespread diseases of high blood pressure and type II diabetes affect millions of people in Germany, and their prevalence is steadily increasing. Both diseases can be treated…

  2. ShieldBoT - Next-Generation Robotics for Sustainable and Efficient Thermal Shielding of Buildings

    Funded by the Horizon Europe programme with EUR 4 million and set to run over three years, ShieldBot brings together 11 partners from six European countries. The consortium ambitions to revolutionise…

  3. KIBA-D - Kontinuierliche KI-basierte Biodiversitäts-Assessments für Deutschland

    As part of the second project phase of the FEdA Central Coordination, the project "Continuous AI-based Biodiversity Assessments for Germany (KIBA-D)" is researching the foundations for an AI-based…

  4. TSS-MoVe - Pilotierung und Evaluation eines verkehrsträgerübergreifenden Technologie-Scouting-Systems für Mobilität und Verkehr

    The early identification and strategic evaluation of technologically relevant developments are crucial to ensuring future-proof and sustainable transportation systems. The project “Cross-Modal…

  5. AI-REEFSHIELD - Al-driven Robotic Ecosystem Exploration Framework for Securing Habitat Integrity and Life Diversity

    The AI-REEFSHIELD project aims to develop an AI-supported learning and robotics system for monitoring marine restoration areas, in particular for the reintroduction of the European oyster in the North…