Projects

AiToC – Artificial Intelligence supported Tool Chain in Manufacturing Engineering

In the application areas of production planning and engineering, the lack of interoperability between tools, methods and formats is still a common ...

SEEvacs – SEEvacs - Simulation-based Evolution and Evaluation of Vaccination Strategies in COVID-19-pandemics

Im Rahmen des Projekts EpideMSE am Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM) ist eine Simulationsplattform entstanden, die die ...

HealthcAIre – HealthcAIre

Ziel dieses Projekts ist es, einen Beitrag zur Schaffung struktureller Grundlagen für den Einsatz Künstlicher Intelligenz in der Medizindomäne zu ...

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 ...

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 ...

XAINES – Explaining AI with Narratives

In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI ...

TRIPLE-nanoAUV 1 – Localisation and perception of a miniaturized autonomous underwater vehicle for the exploration of subglacial lakes

The aim of the TRIPLE project line is to design and build a system for scientific exploration of subglacial lakes while validating the associated ...

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 ...

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 ...

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 ...