Projects

X-Sonar – Analysing and preventing extremist tendencies in social networks

In the context of politically motivated criminality and terrorist activities, freely accessible internet services are becoming increasingly significant. Early identification, prevention and management

EXTRACT (SC_Raso) – EXTRACT - Automatisierte Knowledge Extraction für Augmented-Reality-Anwendungen im Medienbereich

Augmented Reality (AR) ermöglicht die Bereicherung traditioneller Printmedien mit virtuellen Inhalten. Weblinks, Videos und weitere virtuelle Inhalte können durch ausgedruckte Artikel gestartet und au

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 e-shops will be answered with targeted search res

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 execution. The Big Data software stack, in an application

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 costs, improving patients' chances of recovery and in

DaSoMan – Daten-Souveränitätsmanager

Das Projekt Daten-Souveränitäts-Manager (DaSoMan) wird Nutzern von Web-Diensten vollständige Kontrolle über seine personenbezogenen Daten gewähren. GleichzeitigsollAnbieternbzw. Entwicklernvon Web-Die

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 environments. In social environments, conflicts and inco

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 article descriptions in oder to uniformly structure ar

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 Transaktionen, steuerkritischer Transaktionen sowie

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 is running nationwide at all DFKI locations with