Empowering Design And Production Automation With Data-driven And Machine Learning Approaches

This article discusses the use of data-driven machine learning methods in design and production automation. It highlights the potential for increased efficiency and adaptability in these areas and invites contributions from academia, industry, and research institutions. Topics of interest include ML algorithms, data acquisition and processing, and quality control and assurance.