Robots should perform decontamination tasks as independently as possible in environments that are hostile to humans, e.g. in the remediation of contaminated…
Anomalies and defects in the production process cause high costs and have a negative impact on sustainability and productivity. If it is possible to detect such…
As part of the "ForeSight" project, DFKI interviewed companies that could play a role in a smart living ecosystem. Among them were companies from the housing…
The Yield consortium uses satellite data and artificial intelligence to reliably predict agricultural yields. In collaboration with BASF Digital Farming, John…
Quelloffene Hardware-Architekturen wie RISC-V bieten eine unabhängige und kostengünstige Alternative zu den großen Chip-Herstellern. Um die vielen Vorteile…
Im Projekt Evalitech untersuchten das Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI) und das Fraunhofer-Institut für Materialfluss und Logistik…
The DFKI research department Interactive Machine Learning, (IML), and the department of Applied Artificial Intelligence (AAI) at the University of Oldenburg…
From August 29 - 30, 2022, the DFKI research department Smart Service Engineering (SSE) and its project partners Fraunhofer IPT and ModuleWorks presented…
The research department "Smart Enterprise Engineering" of the German Research Center for Artificial Intelligence (DFKI) in Lower Saxony and the Museum…