University of Cambridge > Talks.cam > Foundation AI > Large Language Models and Graph Neural Networks for Intelligent Manufacturing Systems

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Large Language Models and Graph Neural Networks for Intelligent Manufacturing Systems

Download to your calendar using vCal

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.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Betty & Gordon Moore Library News Art Cell Gallery Webinar & LT2, Computer Laboratory, William Gates Building.

Other talks

Wolfson Tool Factory Title to be confirmed Mergers all the way down: simulating the origin of globular clusters in a galactic context Title to be confirmed Organiser Welcome Necessary mechanisms for super AI and stopping hallucinations: The consistent reasoning paradox and the indeterminacy function
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity