The interdisciplinary research project Ageing Smart - Designing Spaces Intelligently at the TU Kaiserslautern addresses the "baby boomer" generation born between 1955 and 1969. As they gradually enter
In rural areas, mobility is often highly individualized (e.g., private cars), leading to a range of challenges, including increased traffic density, environmental impacts, and limited mobility for the
ENGAGE is a project within the framework of the strategic research and innovation agenda of DFKI and Inria in the field of artificial intelligence. Advances in machine learning algorithms and hardware
A digital twin of the earth will allow science and policy users alike to gain insights of our earth system and will help with decision support. We analyze the potential of artificial intelligence tech
Durchführung einer KI-gestützten Buchungssatzanalyse, mit dem Ziel, Buchungen zu unterstützen, zu bewerten bis hin diese zu automatisieren. Dazu sollen insbesondere Ansätze für die automatisierte Anal
Cardiovascular diseases, in particular myocardial infarction and stroke, are the leading cause of death worldwide. Atherothrombosis underlies almost all cardiovascular diseases. This is a progressive
The main objectives of the activity cover the following aspects: Generation of a reusable and open reference dataset: For this activity several different use-cases have been proposed to be selected fo
The goal of the research project KAINE (Knowledge based learning platform with Artificial Intelligent structured content) is to better take into account the prior knowledge and experience of the parti
Robotic Process Automation (RPA) enables further automation of processes across existing systems. As RPA can act like humans and thus is able to read, transfer, and enter data in graphical user interf
In an increasingly interconnected and dynamic world, crises are inevitable, hard to predict, and pose immense challenges that demand robust, effective and timely management. Over the last decade, vari