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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.

News

Projects

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  1. KIOps6G - KI Operations in 6G Netzen

    Ziel des Vorhabens ist die Entwicklung einer „KIOPs Plattform“ mit dem Ziel, auf Basis einer zu entwickelnden formalisierten Beschreibung nichtfunktionaler Eigenschaften von KI-basierten…

  2. 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…

  3. 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…

  4. ExaVerse - Extension Verification Environment

    The design of modern chip architectures is increasingly moving towards heterogeneous structures, where specialized computations are performed by optimized processor units such as specific…

  5. 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…