Morris Riedel Biography 0

Biography

Biography Executive Summary Prof. Dr. – Ing. Morris Riedel is an Associate Professor at the School of Engineering and Natural Sciences of the University of Iceland. He received his PhD from the Karlsruhe Institute of Technology (KIT) and works in parallel and distributed systems since 15 years. He previously held various positions at the Juelich Supercomputing Centre of Forschungszentrum Juelich in Germany. At this institute, he is also the head of a specific scientific research group focused on ‘High Productivity Data Processing’ and a cross-sectional team ‘Deep Learning’. Professional Networks and Associations Institute of Electrical and Electronics Engineers (IEEE) is...

morris riedel utmessan conference 2020 0

UTMessan Conference 2020

UTMessan Conference 2020 February 08–09, 2020 Harpa Convention Center Reykjavik, Iceland Demo @UTmessan 2020 conference created by PhD student Ernir Erlingsson @ernire & informing the society of #DeepLearning chances & risks @DEEPprojects @fz_juelich @fzj_jsc @Haskoli_Islands @uni_iceland @uisens @helmholtz_ai @ernire .more of #UTmessan: https://t.co/FKMt1jsTtY. pic.twitter.com/cTRR2vs8nz — Morris Riedel (@MorrisRiedel) February 10, 2020 Scenes from our booth in Reykjavik, @UTmessan, where we presented the @DEEPprojects and our university's involvement @uni_iceland @Haskoli_Islands @uisens (my supervisor always has the best T-shirts).#UTmessan pic.twitter.com/4wkbgjoWE2 — Ernir Erlingsson (@ernire) February 8, 2020 Sieh dir diesen Beitrag auf Instagram an Morris Riedel, nýráðinn lektor í HÍ, talar um...

2020-02-07 Demystifying Quantum Computing Morris Riedel 0

Demystifying Quantum Computing

Demystifying Quantum Computing UTmessan – Icelandic IT Conference Harpa, Reykjavik, Iceland 2020-02-07 [ Slides ~26.4 MB (pdf) ]

Morris Riedel Teaching 0

Teaching – Overview

Teaching Experience Adjunct Lecturer, Lecturer, Senior Lecturer or Professor University Course: High Performance Computing – Advanced Scientific Computing, REI105M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2019 [ MORE ] University Course: Cloud Computing and Big Data – Parallel and Scalable Machine Learning and Deep Learning, REI504M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2018 [ MORE ] University Course: High Performance Computing – Advanced Scientific Computing, REI105M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2017 [ MORE ] University Course: Cloud Computing and Big Data – Internet-based...

2020-01-30 ON4OFF Status Kuenstliche Intelligenz Morris Riedel 0

ON4OFF – Status Kuenstliche Intelligenz

ON4OFF – Status Kuenstliche Intelligenz ON4OFF Partner Meeting, German Language In-Telegence, Koeln, Germany 2020-01-30 [ Slides ~10.1 MB (pdf) ] Last week #ON4OFF project meeting: PhD Student Chadi Barakat explains how #DeepLearning & RESNET-50 identifies shapes of perfume bottles – customers in retail ask for it @DEEPprojects @fzj_jsc @fz_juelich @Haskoli_Islands @uisens @helmholtz_ai.slides: https://t.co/xAzhQuDONu. pic.twitter.com/Ur9ukDDTLE — Morris Riedel (@MorrisRiedel) February 6, 2020 Sieh dir diesen Beitrag auf Instagram an Last week #ON4OFF project meeting: PhD Student Chadi Barakat explains how #DeepLearning & RESNET-50 identifies shapes of perfume bottles – customers in retail ask for it DEEP projects #julichsupercomputingcenter @forschungszentrum_juelich @haskoli_islands @von_hi...

2020-01-20 Artificial Intelligence Data Analysis School for Heliophysicists Morris Riedel 0

Artificial Intelligence Data Analysis School for Heliophysicists

Artificial Intelligence Data Analysis School for Heliophysicists Invited Training Course organized by the EC Project Artificial Intelligence Data Analysis (AIDA) CINECA, Bologna, Italy 2020-01-20 – 2020-01-22 [ EVENT ] Materials [ Lecture 1: Introduction and Differences between AI, ML, NN, and Big Data – Slides ~10.2 MB (pdf) ] [ Lecture 2: Unsupervised Learning – Clustering – Slides ~7.08 MB (pdf) ] [ Lecture 3: Unsupervised Learning – Computing – Slides ~10.2 MB (pdf) ] [ Lecture 4: Supervised Learning – Multi-Class Classification and Generalization – Slides ~8.99 MB (pdf) ] [ Lecture 5: Supervised Learning – Artificial Neural Networks...