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IMR Colloquium WiSe 2018 / 2019

IMR Colloquium 18/19: Artificial Intelligence for Industry - Naive dream or digital future?

Under the title "Illusion 4.0 - Germany's naive dream of the smart factory", Andreas Syska and Philippe Lièvre state that the imagination of the web-based networked factory, which enjoys media presence under the heading of Industry 4.0 and fulfills all the criteria of a hype and delivers unsustainable salvation promises. On the other hand, corporations such as Google or Apple demonstrate the power with which modern data processing methods succeed in recognizing faces or learning spoken language and in translating a different language into it.

It is precisely this controversy that is the content of the colloquium. What is possible with the help of modern software, what not? What strategy is needed to integrate modern algorithms into contemporary industrial processes and products? What technology stands behind the perplexing results of modern methods of "Deep learning" and how can machines learn from experience? These and other questions are answered by expert speakers from industry and research.

The colloquium will be organized by the working group Applied Mechanics of Prof. Fritzen and the working group of Automatic Control - Mechatronics of Prof. Nelles. Both are members of the Institute of Mechanics and Control Engineering (IMR) of the Faculty of Science and Technology and the Center for Sensor Systems (ZESS) at the University of Siegen.

The colloquium is aimed at all interested scientists and engineers from industry as well as to students interested in gaining insight into the use of modern machine learning methods in engineering.

Additional information can be found in the flyer.



 Begin:  every thursday around 18:00 Uhr
 Room:  PB-A 118

 Universität Siegen

Dipl.-Wirt.-Ing. André E. Barten
(Achenbach Buschhütten, Kreuztal)

Digitale Anlagenvernetzung für eine traumhafte Zukunft

Download: Video Achenbach OPTILINK - Digitiale Anlagenvernetzung

Dr.-Ing. Michael Vogt
(Smiths Heimann GmbH, Wiesbaden)

Deep Learning - Die Revolution der künstlichen Intelligenz

Download: Presentation Vogt

 Paper: Vogt, M. (2018). An overview of deep learning techniques.
In: at - Automatisierungstechnik, 66(9), pp. 690-703.

Dr.-Ing. Pia Dreiseitel
(Continental AG, Artificial Intelligence Center, Frankfurt)

Vision Zero: Mit AI in eine Zukunft ohne Verkehrsunfälle

  Dr. Ansgar Bernardi
(Deutsches Forschungsinstitut für Künstliche Intelligenz, Kaiserslautern)

Künstliche Intelligenz im Produktionsumfeld - Kommunikation, Erkenntnis und Aktion mit Selbstlernenden Systemen und Maschinen




Interested parties can register for up-to-date information at the Institute of Mechanics and Control.

– Mrs. Klein (diana.klein@uni-siegen.de, +49 (0271) 740-2225) –


Working Group Applied Mechanics
Working Group Automatic Control - Mechatronics



VDI - Siegener Bezirksverein
Zentrum für Sensorsysteme

IHK Siegen