Start

13/04/2021 02:00 PM

End

13/04/2021 03:30 PM

Location

Webex online


see link below

Organized by

Bundesanstalt für Materialforschung und -prüfung, Department Analytical Chemistry, Reference Materials

Grafik zur Veranstaltungsreihe Wissenschaft mit Wirkung

Source: BAM

Since 1871, BAM has been ensuring safety in technology and chemistry to build confidence in innovations and new technologies. Through our work we strengthen Germany as a business location and address social challenges such as the energy transition or climate change.

As part of the lecture series "Science with Impact", BAM has invited thought leaders from the scientific community to discuss BAM's developments in its focus areas and their impact on society. You are cordially invited to attend the virtual lectures.

See also BAM's anniversary website.

Announcement
DateTuesday, 13 April 2021, 2:00 pm
Type of EventWebex
TopicNext Generation Cyberphysical Systems with local AI based Intelligence
Presenter

Prof. Dr.-Ing. habil. Michael Hübner

Brandenburg University of Technology Cottbus-Senftenberg
(BTU Cottbus Senftenberg)

Chair for Computer Engineering

Vice President for Research and Transfer

Director of the Computer Science Institute

Summary

The increasing demands in regards to complexity, flexibility and self-organization of networked embedded systems require new solutions for the local processor architectures and firmware. This includes the ability to react to the inner system status as well to acquired data e.g. from a sensor value measured in a process.

 

Artificial intelligence becomes ubiquitous and therefore enters also the domain of embedded systems which therefore enables to exploit the powerful opportunities of this methods even locally at the embedded sensor systems. The so called edge computing will introduce new degrees of freedom in embedded and Cyberpyhsical systems and is very promising to support the aforementioned demands tremendously.

 

In this talk, possible solutions for next generation embedded systems with AI components will be introduced. Methods to exploit offline and online techniques from the AI domain will be presented. Finally, selected real world applications from the process and production industry including results will be introduced.

Registration https://bam-bund.webex.com
Contact at BAMDr. habil. Michael Maiwald, michael.maiwald[at]bam.de

further information