Morris Riedel Research 0

Research – Overview

Research Areas Research of the high productivity data processing research group at Forschungszentrum Juelich – Juelich Supercomputing Centre and University of Iceland focuses on application-driven parallel and scalable machine learning methods including related areas such as feature engineering, statistical data mining, and innovative deep learning techniques. In our projects we are cooperating with academic research groups worldside as well as with selected industry companies including the support of start-ups. Additional funding sources are the European Union or the German Federal Ministry of Education and Research. If you are interested in one of these research topics please contact me by email...

Morris Riedel Deep Learning 0

Deep Learning

Deep Learning Interesting Links http://www.fz-juelich.de/ias/jsc/EN/AboutUs/Organisation/FederatedSystemsandData/CrossSectionalTeamDeepLearning/_node.html Page of the cross-sectional team deep learning of the Juelich Supercomputing Centre in Germany. https://deeplearning4j.org/neuralnet-overview Interesting introduction to Deep Neural Networks (Deep Learning) including use cases and choosing related networks.

Morris Riedel Big Data 0

Big Data

Big Data Interesting Links http://www.big-data-network.eu Center of Excellences drive the development and evolution of all aspects of Big Data. https://www.rd-alliance.org/groups/big-data-analytics-ig.html Big Data Interest Group (IG) of the Research Data Alliance (RDA) with interesting topics around big data and its processing. http://www.big-data.tips Selected short but informative articles about big data and machine learning topics. http://www.bdva.eu Big Data Values Association (BDVA) that is the private counterpart to the EU Commission to implement the BDV PPP programme (Big Data Value Private-Public Partnership).