Skip to main content Skip to main navigation

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

Page 1 of 50.

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

    The Research Initiative for the Conservation of Biodiversity (FEdA) aims to sustainably deepen research on biodiversity and gain new insights into the state of biodiversity in Germany and the causes,…

  2. 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…

  3. 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…

  4. 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…

  5. 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…