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.

News

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. 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…

  4. 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…

  5. 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…