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
Within the AI4EO Solution Factory we combine our AI expertise with EO data to develop customized state-of-the-art solutions for business cases as diverse as agriculture, urban planning disaster foreca
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
The KI4ETA project aims to achieve energy efficiency measures and operational optimization in production through the targeted use of AI. To achieve this goal, seven subprojects are developing an energ
The project aims to accelerate Natural Science research process through part automatization of execution of experimentation by AI powered Change Event based Sensor Sampling (ChESS), e.g. for systems m
STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable human-centric AI systems in real-life manufacturing environme
The main objective of DeeperSense is to significantly improve the capabilities for environment perception of service robots to improve their performance and reliability, achieve new functionality, and