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A cloud-native architecture is outlined that embeds explainability into each stage of the portfolio optimization lifecycle, from data ingestion to user interaction, to bridge the gap between advanced AI models and financial professionals.
An AI-based framework for dynamic reconfiguration of modular smart manufacturing cells, enabling rapid adaptation to changing production demands, equipment failures, and optimization goals is presented.
The rise of lights-out manufacturing—facilities operating autonomously without human intervention—has redefined the landscape of industrial automation. However, these systems often rely on pre-designed parts and rigid workflows, limiting their adaptability. This paper explores the integration of generative AI models in...
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