Head of the Research Department Interactive Machine Learning
Prof. Dr.-Ing. Daniel Sonntag
Organizational unit
Interactive Machine Learning
Address
(Saarbrücken)
Gebäude D3 1Stuhlsatzenhausweg 3D-66123 Saarbrücken
Address
(Oldenburg)
Technologie- und Gründerzentrum OldenburgMarie-Curie-Str. 1D-26129 Oldenburg
Publications
Profile
NoIDLEChatGPT
No-IDLE meets ChatGPTDas Projekt "No-IDLE meets ChatGPT" zielt darauf ab, die Mensch-Maschine-Interaktion bei der Aktualisierung von Deep-Learning-Modellen (DL) zu verbessern, indem die Mensch-Computer-Interaktion (HCI)…
No-IDLE
Interactive Deep Learning EnterpriseIn 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
MASTER: Mixed reality ecosystem for teaching robotics in manufacturingMany 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…
Ophthalmo-AI
Intelligent, Cooperative Medical Decision Support in OphthalmologyThe 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…
pAItient
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…
