Parallel Machine Learning and Deep Learning Driven by HPC Invited Talk 4th International Summer School for Big Data and Machine Learning Organized by Competence Center for Scalable Data Services and Solutions (SCADS) and Berlin Big Data Center (BBBC) University of Leipzig, Germany 2018-07-03 [ Event ] [ Slides ~18.8 MB (pdf) ]
ISC2018 Tutorial on Machine Learning and Data Analytics Invited Tutorial Science, Technology, Engineering, and Mathematics (STEM) Student Day & Gala International Supercomputing Conference (ISC), Frankfurt, Germany 2018-06-27 [ Event ] [ ISC 2018 Tutorial on Machine Learning and Data Analytics – Slides ~15.4 MB (pdf) ]
DEEP-EST Tutorial: Introduction to Deep Learning Tutorial under the umbrella of the DEEP-EST EU Project Juelich Supercomputing Centre, Germany 2018-06-06 – 2018-06-07 [ Event ] Materials [ Lecture 1 – Introduction to Deep Learning – Slides ~3.29 MB (pdf) ] [ Lecture 2 – Fundamentals of Convolutional Neural Networks (CNNs) – Slides ~3.81 MB (pdf) ] [ Lecture 3 – Deep Learning in Remote Sensing: Challenges – Slides ~8.11 MB (pdf) ] [ Lecture 4 – Deep Learning in Remote Sensing: Applications – Slides ~1.98 MB (pdf) ] [ Lecture 5 – Model Selection and Regularization – Slides ~1.78 MB...
Modular Supercomputing Design supporting Machine Learning Applications IEEE MIPRO Conference 2018 Opatija, Croatia 2018-05-24 [ Event ] [ Slides ~6.12 MB (pdf) ]
SIMDAS & Industry Relations – Examples from Juelich Invited Talk Simulation and Data Science Center of Excellence (SIMDAS) The Cyprus Institute, Nicosia, Cyprus 2018-05-03 [ Event ] [ Slides ~9.18 MB (pdf) ]
Selected Comparisons between Machine Learning and Deep Learning in Earth Science Applications Invited Talk International Conference on: Terrestrial Systems Research: Monitoring, Prediction & High Performance Computing University of Bonn, Germany 2018-04-05 [ Event ] [ Slides ~6.99 MB (pdf) ]
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...
On Using Array Databases for Machine Learning and Earth Science Research Data Alliance Working Group Array Database Assessment – Adoption Plans Research Data Alliance Plenary Meeting, Berlin, Germany 2018-03-23 [ Event ] [ Slides ~2.97 MB (pdf) ]
Deep Learning vs. Traditional Learning in Remote Sensing Research Data Alliance Interest Group GeoSpatial Update Research Data Alliance Plenary Meeting, Berlin, Germany 2018-03-22 [ Event ] [ Slides ~3.04 MB (pdf) ]