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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.

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Projects

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  1. ActGPT - Adaptive robot ConTrol with Generative Pre-trained Transformers

    Currently, we are seeing an explosion in AI, primarily led by the advances in reinforcement learning (RL) methods

    as well as transformer-based neural networks. For example, large language models…

  2. DA4JET - Digitaler Assistent für das Journal Entry Testing

    Im Rahmen der Jahresabschlussprüfung besteht eine zentrale Aufgabe der Wirtschaftsprüfer darin, die Daten der Finanzbuchhaltung systematisch auf wesentliche Fehlaussagen und Falschdarstellungen zu…

  3. EPOPredict-III - Erythropoietin Prediction III

    Development of AI-based algorithm to detect EPO drug abuse and understand its impact on anti-doping decision-making

    Partners

    Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH, World…

  4. GenKI4Media - Generative AI assistants for the media, cultural and creative sectors

    Generative AI models have made great progress in recent years and have achieved impressive results. However, these models have so far only been of limited use to SMEs, as they are not sufficiently…

  5. COPPER - Continual Optical Perception for Dynamic Environments in and around of Vehicles

    The COPPER project aims to develop new concepts in the context of alternative, advanced training strategies for deep neural networks applied in the field of assisted and autonomous driving. In…