{"id":3794,"date":"2026-08-25T15:07:08","date_gmt":"2026-08-25T13:07:08","guid":{"rendered":"https:\/\/www.hsu-hh.de\/imb\/?page_id=3794"},"modified":"2026-08-28T10:57:24","modified_gmt":"2026-08-28T08:57:24","slug":"ml4cps","status":"publish","type":"page","link":"https:\/\/www.hsu-hh.de\/imb\/en\/organized-events\/ml4cps","title":{"rendered":"ML4CPS \u2013 Machine Learning for Cyber-Physical Systems"},"content":{"rendered":"\n

Conference in Berlin, March 11, 2027<\/h2>\n\n\n\n
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About the Conference<\/h2>\n\n\n\n

Modern cyber-physical systems can adapt to evolving requirements, accommodate architectural changes throughout their lifecycle, and make sense of the heterogeneous data they generate. Combined with machine learning, this opens up powerful possibilities \u2014 from predictive maintenance and self-optimization to fault diagnosis, re-planning, and reconfiguration. Yet turning these ideas into well-founded, reliable methods remains an open challenge, requiring continuous research at the intersection of both fields. This conference brings together researchers from the CPS and ML communities to discuss recent advances, open problems, and future directions \u2014 join the conversation.<\/p>\n\n\n\n

Register here<\/strong>: TBA<\/p>\n\n\n\n

The 10th Machine Learning for Cyber-Physical Systems (ML4CPS)<\/strong> conference will take place on March 11, 2027 at the Fraunhofer Forum in Berlin. This year, ML4CPS will be held jointly with the 1st Machine Learning for Defence (ML4D) conference, which follows on March 12, 2027.<\/p>\n\n\n\n

ML4CPS is hosted by Fraunhofer IOSB, Helmut Schmidt University Hamburg, Hamburg University of Technology, and the Chair of Production Engineering of E-Mobility Components (PEM) at RWTH Aachen. ML4D is hosted by Fraunhofer IOSB and Helmut Schmidt University.<\/p>\n\n\n\n

Papers may cover, but are not limited to the following topics:<\/p>\n\n\n\n