Projects

EPOPredictII – Erythropoietin Prediction II

Sports officials around the world are facing incredible challenges due to the unfair means of practices performed by the athletes to improve their …

TAILOR – Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization

The TAILOR project was selected by the European Commission in the ICT-48-2020 call for proposals "Towards a vibrant European network of AI excellence …

KItatta – KI-Verfahren erkennen Qualität von Spenderhornhäuten

In Deutschland werden jährlich mehr als 9.000 Hornhauttransplantationen durchgeführt. Trotz strenger Qualitätskriterien sind bei etwa 4-5 % der …

SmartVigilance – Regulatorische Compliance durch KI-basierte Umfeldüberwachung in der Medizintechnik

Hersteller von Medizinprodukten unterliegen strengen Regulierungen hinsichtlich der Sicherheit ihrer Produkte. Regulierungen betreffen sowohl die …

DIGITbrain – Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

DIGITbrain Project is an EU innovation program to give SMEs easy access to digital twins. A Digital Twin is the virtual representation of a product, …

KI-Para-Mi – KI-getriebener Paradigmenwechsel durch Mitarbeiter-zentrische Schicht- und Dienstplanung zur Verringerung des Pflegenotstands

The goal of the KI-Para-Mi project is to develop an intelligent personnel planning system for flexible shift scheduling in nursing, which above all …

ASCAPE – Artificial intelligence Supporting CAncer Patients across Europe

The project objective is to take advantage of the advances in Big Data, Artificial Intelligence and Machine Learning to support cancer patients’ …

KI-EKG – Development of a evaluation methodology for energy efficiency measurement of AI hardware using the example of ECG analysis

Significant improvements in the energy efficiency of AI hardware are a prerequisite for the growing spread of this computationally intensive …

Fast&Slow – Combination of Symbolic and Subsymbolic Methods

Deep learning methods are used in many application areas and work very efficiently after a training phase. However, in general no reliable statement …

ExplAINN – Explainable AI and Neural Networks

Despite astonishing progress in the field of Machine Learning (ML), the robustness of high-performance models, especially the ones based on Deep …