Projects

KOALA – Context-Adaptations for E-Learning Platforms by Analyzing the User‘s Cognitive State

E-learning platforms allow users to learn at their own pace and at any time and any place. The constant availability of mobile internet and the ...

DAMiAS – Data Analysis for Digital Asset Management

The goal of the DAMiAS project is the development of a methodological and technical solution set to implement and introduce a data-driven Asset ...

Planning Grant "Predicting Biases" – Planning Grant "Predicting Biases"

Our intended project will identify key questions related to modeling cognitive biases and how they affect interactions of individuals in social ...

SPOTTeD (SC_Lahann) – Spot Inconsistencies in Tax-related Transactional Data

Ziel des Projekts "SPOTTeD" ist die automatisierte Analyse von Transaktionsdaten zur Erkennung und Visualisierung steuerlich falsch klassifizierter ...

Hi-Digit Pro 4.0 – Flexible High-Lift Wing Assembly with a Digital and Efficient High-Rate Production in the Industry 4.0

Efficient processes in the face of high complexity To increase the efficiency and to optimize the utilization of available resources in production ...

BigMedilytics – Big Data for Medical Analytics

The EU's BigMedilytics project aims to significantly increase healthcare productivity through the adoption of big-data technologies while reducing ...

aiPhilos – Developing a search engine for the B2C area using artificial intelligence.

The goal of the project is to adapt the results of the projects "KI-Suche" to the B2C area. In doing so, search queries from mobile devices to diverse ...

KI-STAGING

In the KI-Staging project, the DFKI research department Cyber-Physical Systems and the ePhilos AG develop intelligent methods for the analysis of ...

UPLINX – Cross-site qualification program Machine Learning for practice

The joint Project UPLINX is a multi-site qualification program for machine learning with direct practical and application relevance. The joint project ...

E2Data – European Extreme Performing Big Data Stacks

In today´world, data is streamed from the local network or edge devices to a cloud provider which is rented by a customer to perform the data ...