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Research Topics

Machine Learning & Deep Learning

Machine learning systems act independently and give recommendations based on learned knowledge from large amounts of data. When deep neural networks are used in machine learning, this is referred to as deep learning. The basis for such CPU-intensive methods is the combination of special algorithms, a powerful infrastructure and training data.

Projects

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  1. PRO-OPT - PRO-OPT - Big Data in Smart Ecosystems

    Partners

    • Audi AG AUDI
    • camLine GmbH
    • DSA ‐ Daten‐ und Systemtechnik GmbH
    • Fraunhofer Gesellschaft: Fraunhofer Institut für Experimentelles Software Engineering - IESE
  2. KDI - Klinische Datenintelligenz

    Clinical Data Intelligence develops intelligent smart data solutions based on big data analysis in the medical application context. A special focus is put on (pseudo) anonymisation and data security.…

  3. IRL - Laboratory for Innovative Retail Technology in cooperation with Globus

    Within the Innovative Retail Laboratory (IRL), an application-oriented research laboratory of the DFKI, innovative technologies for the retail of tomorrow are researched in close cooperation with…

  4. EPOS - Evolving Personal to Organizational Knowledge Spaces

    The objective of EPOS is to reduce the efforts for personal knowledge management and to evolve personal to organizational knowledge spaces. EPOS addresses the following topics:

    • workspace modelling,…
  5. VirtualOffice - Media-independent handling of administrative workflows

    The aim of VirtualOffice is research and development of innovative solutions for document analysis and understanding (DAU) and their integration into workflow management systems (WFMS). Although,…