|Presenter||Prof. Dr.-Ing. habil. Michael Hübner
Brandenburg University of Technology 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.