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Intelligent systems are characterized by learning processes that allow the acquisition of new skills and deal with a large amount of heterogeneous, uncertain and probabilistic data. Due to the complexity of the real-world situations represented by them, the automatic abstraction of information from data, the formation of appropriate representative models, and the semantic processing of existing information is essential to build intelligent systems for digital transformation, such as mobility To enable industry, medicine and education.

Projekte

AFEL - Analytics for Everyday Learning

The rise of the Web had a tremendous impact on how learning and knowledge acquisition takes place, specifically in social environments such as LinkedIn or Slideshare, where exchange of knowledge or resources are among the key motivations for interaction

Alexandria

The ALEXANDRIA project (ERC Nr. 339233) aims to develop models, tools and techniques necessary to explore and analyze Web archives in a meaningful way

AMA - Applied Machine Learning Academy

The aim of the AMA project is s to build up the Applied Machine Learning Academy (AMA) based on a sustainable, flexible and applied qualification concept

ARA

Interpreting Neural Rankers

AutoPIN

Die Inspektion von Rohrleitungssystemen erfolgt heutzutage unter Einsatz von Inline-Inspektionswerkzeugen, welche im laufenden Betrieb durch die Rohrleitung geschleust werden können

BIGMedilytics

BLINKER - Localization and Navigation With a 360°-Camera

The BLINKER project is a collaboration between L3S and Goetting KG, a company which is specialized on driverless transportation systems

BOOST 4.0

Cleopatra. Cross-lingual Event-centric Open Analytics Research Academy

COVMAP - Comprehensive Conjoint GPS and Video Data Analysis for Smart Maps

During the past years, the availability of spatial data has grown rapidly