Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis.
Nowadays machines can learn und develop an artificial intelligencene, meaning that those systems can be introduced in production. Typical approaches are Condition Monitoring, Predictive Maintenance, Image processing and diagnosis.
The 4. Conference on Machine Learning for Cyber Physical Systems and Industry 4.0 - ML4CPS - accesses this theme
Main themes of the conference are:
Machine Learning Methods – Deep Learning
Data Stream Processing
Applications in Machine Learning in Industry 4.0 and Cyber-physical systems
The conference offers a forum to present new approaches to Machine Learning for Cyber Physical Systems, to discuss experiences and to develop visions. Therefore, the conference addresses researchers and users from different industry sectors such as production technology, automation, automotive and telecommunication.
Professor Dr.-Ing. habil. Jürgen Beyerer, Fraunhofer Institut IOSB
Professor Dr. rer. nat. Oliver Niggemann, Fraunhofer IOSB-INA
Call for Papers
Authors are invited to submit an expressive 2 pages DIN A4 abstract:
We are looking forward to welcome you in Karlsruhe
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