Veranstaltungsort für Mitglieder sichtbar
Dear Meetup Members:
I’m excited to announce the event “Deep Learning in Action” #2, on Wednesday,[masked]!
Many thanks in advance to the ACM Munich chapter around David Dao, which already did an awesome job preparing this event.
Big thanks to TNG Technology Consulting (http://www.tngtech.com) and TrustYou (http://trustyou.com) for sponsoring our event already for the second time!
Big thanks for NVIDIA (http://www.nvidia.de) for sponsoring and organizing the beverages for this event!
And big thanks to STYLIGHT (http://engineering.stylight.com) for hosting us in their beautiful office.
The event will take place at
Nymphenburger Str. 86
from 5.30 - 9:00 PM on Wednesday, the 5th of August.
We advise to hurry up saving your seat, as we limit the event to 100 participants.
The schedule so far:
1. Dr. Moritz Helmstaedter Director, Max Planck Institute for Brain Research
Connectomics - The dense reconstruction of neural networks
Born 1978 in Berlin, Germany. 1998 onwards studies of medicine and physics at Ruprecht-Karls-University Heidelberg, Germany (Medical license and Diploma in physics). Brief interlude as strategy consultant with McKinsey. Doctoral thesis with Bert Sakmann and Post-Doc with Winfried Denk at the Max Planck Institute for Medical Research in Heidelberg. [masked] Research Group leader and Principal Investigator at the Max Planck Institute of Neurobiology, Munich. Since August 2014 Director and Scientific Member at the Max Planck Institute for Brain Research. For his research activities, Moritz Helmstaedter was honored with the Otto Hahn Medal and the Bernard Katz Lecture.
2. Dr. Hans-Georg Zimmermann, Principal Researcher, Siemens AG, Corporate Technology
System Identification and Forecasting with Recurrent Neural Networks
Study of mathematics, computer science and operations research. Since 1987 at Siemens AG, Corporate Technology. 1988 founding member of the neural networks group in Siemens Munich. Scientific leader of the Learning Systems Group. Current research interests: System Identification, Forecasting and Control with Neural Networks. Applications in economics (time series analysis, forecasting, diagnosis, uncertainty analysis, and decision support) and engineering (process modeling, renewable energies, control and process surveillance).
3. Paul Pfeiffer, TNG Technology Consulting
Case Study: Machine Learning in Fraud Detection
Paul Pfeiffer is a physicist by education, who entered into the IT-World via an internship at TNG Technology Consulting. During his physics studies in Konstanz and Munich, he has always been interested in information processing. Both his Bachelor and Master thesis were in the field of quantum information processing and during a research internship at the MPI of Neurobiology, he programmed artificial neural networks for the analysis of images from the brain.
Please refer to the event website for more and updated information.
A big thanks in advance to our speakers!
Looking forward to see you soon,