
Machine Learning for Cyber Physical Systems 2025
Description
The 8th Machine Learning 4 Cyber Physical Systems (ML4CPS) conference in Berlin focuses on the integration of machine learning with cyber-physical systems, emphasizing advanced automation and autonomy. It aims to provide a collaborative platform for researchers and users to exchange ideas on topics like AI in manufacturing processes, energy efficiency, and learning from unlabeled data.
Highlights
The 8th ML4CPS conference focuses on integrating machine learning with cyber-physical systems. Topics include predictive maintenance, self-optimization, and fault diagnosis. Generative AI for CPS to facilitate human-machine interaction. Automated modelling to learn behaviors and structures of CPS. Industrial AI for optimizing manufacturing processes and enhancing operational efficiency. Edge AI for real-time data processing on local devices. Self-supervised learning to minimize reliance on large, labeled datasets. The conference provides a platform for researchers and users to exchange ideas. Hosted by Fraunhofer IOSB, Helmut Schmidt University, and other institutions. Papers are chosen on a peer-review basis and published by Helmut Schmidt University Press.
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