Large Language Models and Graph Neural Networks for Intelligent Manufacturing Systems

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• Fan Mo, University of Cambridge
• Wednesday 24 September 2025, 13:00-14:00
• Zoom (Meeting ID: 360 910 4394, Passcode: P5F18G), Computer Laboratory, William Gates Building, Room SS03..

If you have a question about this talk, please contact Pietro Lio.

Artificial intelligence is moving beyond domain-specific tasks toward systems that integrate perception, reasoning, and action across modalities. In this talk, I present recent work on hybrid AI frameworks that combine graph neural networks, knowledge graphs, and large language models to strengthen reasoning and interpretability. Building on these foundations, I will discuss advances in multi-modal fusion and embodied intelligence, with case studies in robotics and manufacturing, including decision-making for reconfigurable systems and runtime adaptability. These results demonstrate how combining symbolic structure with neural flexibility enables more autonomous and resilient AI for complex industrial environments.

This talk is part of the Foundation AI series.

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