Prof. Dr. - Ing. Morris Riedel

Morris Riedel AI in Cancer Research 0

Research

AI in Cancer Research

AI in Cancer Research Online Links Nature Research: Big Data takes on Cancer [ MORE ] Extracts new meaning from large clinical and molecular datasets using machine learning and data science technologies Explains that people that did not studied cancer can make a difference as Artificial Intelligence (AI) researcher Suggests that algorithmic AI models could extract more insights from the clinical records Discusses how machine learning could detect tumours at an earlier stage and offer personalized treatment recommendations Parse patient medical reports and develops new deep learning methods to interpret diagnostic images Implements one tool for clinical practice as a...

Morris Riedel Helmholtz Artificial Intelligence Cooperation Unit 0

Research

Helmholtz Artificial Intelligence Cooperation Unit

Helmholtz Artificial Intelligence Cooperation Unit (HAICU) HAICU Official Web Page HAICU Web Page [ MORE ] Social Media F. Theis @fabian_theis starts our @helmholtz_de @helmholtz_en Artificial Intelligence Cooperation Unit @helmholtz_ai https://t.co/HO07ifLoYb event & T. Dickscheid explains modular supercomputing by @fzj_jsc @fz_juelich @DEEPprojects @Haskoli_Islands – see: https://t.co/mRRewnhlxq pic.twitter.com/aMpGRn9o1N — Morris Riedel (@MorrisRiedel) April 12, 2019

Morris Riedel Acute Respiratory Distress Syndrome 0

Research

Acute Respiratory Distress Syndrome

Acute Respiratory Distress Syndrome (ARDS) Smart Medical Information Technology for Healthcare (SMITH) Project SMITH Project Web Page [ MORE ] Online Links Eazzy Medicine on ARDS [ MORE ] Selected ARDS Facts Also called noncardiogenic pulmonary edema It is a severe condition that affects around 1 in 10,000 people every year with life threatening consequences [reference: The ALIEN study] Its pathophysiology is characterized by bronchoalveolar injury and alveolar collapse (i.e., ‘atelectasis’) [reference: 1, 2, 3, 4] Common Practice in Intensive Care Units (ICUs) Using lung recruitment maneuvers (RMs) in ARDS to open up unstable, collapsed alveoli using a brief increase...

Morris Riedel DBSCAN 0

Research

DBSCAN

DBSCAN Parallel & Scalable DBSCAN Goetz, M., Bodenstein, C., Riedel, M.: HPDBSCAN – Highly Parallel DBSCAN, in conference proceedings of ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2015), Machine Learning in HPC Environments (MLHPC 2015) Workshop, November 15-20, 2015, Austin, Texas, USA [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ] [ MORE ] Open source available: Download DBSCAN Applications Bodenstein, C., Goetz, M., Jansen, A., Scholz, H., Riedel, M.: Automatic Object Detection using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay, in conference proceedings of the 15th IEEE International Conference...

Deutscher Bundestag Impulsvortrag Kuenstliche Intelligenz Morris Riedel 0

Talks

Deutscher Bundestag Impulsvortrag Kuenstliche Intelligenz

Deutscher Bundestag Impulsvortrag Kuenstliche Intelligenz Deutscher Bundestag, Enquete-Kommission ‘Kuenstliche Intelligenz’ Berlin, Germany 2019-03-11 [ Slides ~4.86 MB (pdf) ] [ EVENT ] [ PRESS ] Video of my talk @ Deutscher Bundestag German federal parliament now at https://t.co/dcqT15JYPY discussing among #ArtificialIntelligence experts HAICU @helmholtz_en SMITH, ON4OFF & Modular Supercomputing by @DEEPprojects @fzj_jsc @fz_juelich @uisens @uni_iceland @Haskoli_Islands pic.twitter.com/YSzWHtpmru — Morris Riedel (@MorrisRiedel) March 21, 2019 Invited talk at Deutscher Bundestag – the German federal parliament – presenting artificial intelligence chances with examples of SMITH, ON4OFF & Modular Supercomputing by @DEEPprojects @fzj_jsc @fz_juelich @uisens @uni_iceland @Haskoli_Islands – talk at: https://t.co/xCDitaxS71 pic.twitter.com/S5VkSRacRQ —...

Morris Riedel Retail Analytics 0

Research

Retail Analytics

Retail Analytics Kuenstliche Intelligenz Links (German Language) Strategie Künstliche Intelligenz der Bundesregierung, November 2018 [ MORE ] ON4OFF EU EFRE Project ON4OFF Project Web Page, June 2019 [ MORE ] Todays @fz_juelich newsletter includes a link to a press release about the #ON4OFF project for #MachineLearning in retail by @fzj_jsc @paluno_se @adessoAG @INtelegenceGmbH ProXperts @ProfHeinemann @PieperBeauty – press: https://t.co/CznJhsZ5ay – Web page: https://t.co/kG6Dtn5YYJ pic.twitter.com/1AgAfaAyX6 — Morris Riedel (@MorrisRiedel) June 7, 2019 Adesso AG Cologne business talk about #MachineLearning in #ON4OFF Project by @adessoAG @INtelegenceGmbH @fz_juelich ProXperts @ProfHeinemann @PieperBeauty using @helmholtz_ai & modular HPC by @fzj_jsc @Haskoli_Islands @uisens @uni_iceland @DEEPprojects –...

2019-02-25 PRACE Tutorial Parallel and Scalable Machine Learning Morris Riedel 0

Teaching

PRACE Tutorial – Parallel and Scalable Machine Learning

PRACE Tutorial: Parallel and Scalable Machine Learning Invited Tutorial PRACE Advanced Training Center, Juelich Supercomputing Centre, Germany 2019-02-25 – 2019-02-27 [ EVENT ] Lecture 1 – Parallel and Scalable Machine Learning driven by HPC (pdf, ~9,97 MB) Lecture 2 – Introduction to Machine Learning Fundamentals – Theory (pdf, ~12,9 MB) Lecture 3 – Introduction to Machine Learning Fundamentals – Practice (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de) [Martin Schultz] Lecture 4 – Feed Forward Neural Networks (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de) [Martin Schultz] Lecture 5 – Feed Forward Neural Networks (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de) Lecture...

Remote Sensing Data Analytics Udocker Container Tool Multi-GPU Deep Learning Systems BIDS 2019 Poster 0

Talks

Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU Deep Learning Systems

Poster – Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU Deep Learning Systems Cavallaro, G., Kozlov, V., Goetz, M., Riedel, M., Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU Deep Learning Systems, The Big Data from Space (BiDS 2019) conference, February 19 – 21, 2019, Munich, Germany [ EVENT ] [ JUSER ] [ PDF (~ 0,58 MB) ]

2019-02-18 SMITH ASIC Use Case Related Work VPH Morris Riedel 0

Talks

SMITH ASIC Use Case and Related Work Virtual Physiological Human

SMITH ASIC Use Case and Related Work Virtual Physiological Human SMITH ASIC AG2 Workshop RWTH Aachen University Clinic, Aachen, Germany 2019-02-18 [ Slides ~7.10 MB (pdf) ] SMITH Algorithmic Surveillance of Intensive Care Unit Patients (ASIC) workshop @UniklinikAachen discussing virtual patient models like @VPH_Institute using modular supercomputing of @DEEPprojects @fzj_jsc @fz_juelich @Haskoli_Islands @uisens @uni_iceland – https://t.co/xCDitaxS71 pic.twitter.com/3Cw2vKKBux — Morris Riedel (@MorrisRiedel) February 18, 2019

2019-02-15 ON4OFF Projekt Juelich Supercomputing Centre Rolle und Ziele Morris Riedel 0

Talks

ON4OFF Projekt – Juelich Supercomputing Centre – Rolle und Ziele

ON4OFF Projekt – Juelich Supercomputing Centre – Rolle und Ziele ON4OFF Vision Workshop Adesso, Essen Germany 2019-02-15 [ Slides ~1.69 MB (pdf) ] ON4OFF Project Team @adessoAG @INtelegenceGmbH @paluno_se @PieperBeauty @fz_juelich explores with @ProfHeinemann how to improve retail using also #MachineLearning & modular supercomputing by @DEEPprojects @fzj_jsc @uisens @Haskoli_Islands @uni_iceland – https://t.co/xCDitaxS71 pic.twitter.com/urAlzECiAx — Morris Riedel (@MorrisRiedel) February 16, 2019