Projects

APLASTIC-Q-Vietnam – Aquatic plastic litter detection, classification and quantification in Vietnam

Plastic pollution has a variety of global impacts and is harmful against the environment, can damage the economy and enter the food chain. The economic damage caused by plastic pollution in Vietnam is

RACKET – Rare Class Learning and Unknown Events Detection for Flexible Production

The RACKET project addresses the problem of detecting rare and unknown faults by combining model-based and machine learning methods. The approach is based on the assumption that a physical or procedur

AdjUST – Automatisierung in der Konfiguration von Unternehmensinformationssystemen der Textilbranche über Methoden der KI und Referenzmodellierung

Unternehmen der Textilbranche stehen im Zuge der Digitalisierung und Globalisierung vor der Herausforderung, ihre Prozesse zu professionalisieren. Dies betrifft die Kernprozesse in Verwaltung und Prod

ALMA – Human Centric Algebraic Machine Learning

Algebraisches maschinelles Lernen (AML) wurde kürzlich als neues Lernparadigma vorgeschlagen, das auf der Abstrakten Algebra, der Modelltheorie, aufbaut. Im Gegensatz zu anderen populären Lernalgorith

VISION – Value and Impact through Synergy, Interaction and coOperation of Networks of AI Excellence Centres

The project VISION aims to coordinate the four new AI networks of excellence selected by the European Commission in the framework of the call "Towards a vibrant European network of AI excellence centr

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 centres" to form a strong research network of acad

HumanE-AI-Net – HumanE AI Network

The HumanE AI Network brings together European centers of excellence, universities, and key industry champions in a network of centers of excellence that goes beyond a narrow definition of AI and conn

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 Transplantate postoperativ warzenförmige Veränderungen n

GridAnalysis – AI-based system analysis of power distribution networks in normal and short-circuit operation - AI-based System Analysis and Assistance System

The goals of the GridAnalysis research project are the development of new models and methods for quasi-stationary and time-series-based simulation of power distribution grids in combination with class

QINROS – QINROS - Quanten computing and quantum machine learning for intelligent and robotic systems

The goal of QINROS, based on the Artificial Intelligence (AI) in Quantum Computing agenda of the Robotics Working Group and DFKI RIC, is to conceptualize and prototype an application field of quantum