Interactive Machine Learning


Interactive Deep Learning Enterprise

In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical…

MASTER: Mixed reality ecosystem for teaching robotics in manufacturing

Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) technologies have reached sufficient maturity to enter the…

Intelligent, Cooperative Medical Decision Support in Ophthalmology

The goal of Ophthalmo-AI is to develop better diagnostic and therapeutic decision support in ophthalmology through effective collaboration of machine and human expertise (Interactive Machine Learning…

Protected Artificial Intelligence Innovation Environment for Patient Oriented Digital Health Solutions for developing, testing and evidence based evaluation of clinical value.

Developments in recent years, such as low-cost hardware for enormous computing power and machine learning techniques, have given AI new impetus in medicine as well, and in many medical application…

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 can explain in one sentence why it acted the way…

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Phone: +49 441 99833 7440 (Oldenburg)
Phone: +49 681 85775 5320 (Saarbrücken)

Deutsches Forschungszentrum für
Künstliche Intelligenz GmbH (DFKI)
DFKI Niedersachsen
Interactive Machine Learning
Marie-Curie-Straße 1
26129 Oldenburg

Deutsches Forschungszentrum für
Künstliche Intelligenz GmbH (DFKI)
Interactive Machine Learning
Stuhlsatzenhausweg 3
Saarland Informatics Campus, Geb. D3 2
66123 Saarbrücken

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz