Anomalies and defects in the production process cause high costs and have a negative impact on sustainability and productivity. If it is possible to detect such defects immediately when they occur, th
The joint project "idFlexNetz" aims to create an ICT ecosystem that enables initially heterogeneous models and algorithms to be traded as digital goods on a marketplace with the help of a universal de
Recent advances in Machine learning (specifically Computer Vision and Reinforcement Learning) allowed robots to understand objects and the surrounding environment on a perceptual non-symbolic level (e
New regulations in the Medienstaatsvertrag (MStV) present the state media authorities with new, diverse tasks in the area of media intermediaries: These must disclose what happens in the background wh
The goal of Ophthalmo-AI is to develop better diagnostic and therapeutic decision support in ophthalmology through effective collaboration of machine and human expertise (Interactive Machine Learning
The goal is to develop a risk assessment module for a smart home platform with a focus on "smart ageing". A collection of sensors is installed in the volunteers' flats and their base health status ass
In Deutschland werden jährlich mehr als 9.000 Hornhauttransplantationen durchgeführt. Trotz strenger Qualitätskriterien sind bei etwa 4-5 % der Transplantate postoperativ warzenförmige Veränderungen n
A remaining major challenge with autonomous systems is the handling of situations that the system cannot handle on its own. Up to now, this transfer of control has been considered in isolation. An imp
Novel, cost-effective and highly precise indication of imbalance and state of charge (SoC) of vanadium redox flux batteries using AI-assisted detection of specific colors Partners IZES gGmbH (Konsorti
At the center of the three-year project is the prototypical development of a digital learning platform specializing in the field of artificial intelligence. This platform is particularly designed for