Our NDT and Condition Monitoring (TG8) Technical Group will be hosting their upcoming online Technical Group from 12:30pm – 4:30pm (UK time) on 30 January, 2025.

The event, which is titled, ‘Artificial Intelligence and Machine Learning in NDT,’ will aim to teach how AI/ML has the potential to improve NDT effectiveness significantly. Presentations will cover; how AI may be used to analyse NDT data, benefits of the use of AI/ML for evaluation of large quantities of data, examples of the use of AI/ML in an NDT context, advantages and limitations of this approach, existing and emerging regulation, and standards and codes.

Who Should Attend?

The event should be of interest to structural integrity engineers, reliability engineers, NDT engineers and asset owners.

Speakers and Presentations:

• Iikka Virkkunen, CEO, Trueflaw - Today and Tomorrow for AI in NDE
• Christophe Reboud, Head of Simulation and AI Services, CEA and Pierre Calmon, NDE Scientific Director, CEA - Joint Use of Simulation and Artificial Intelligence for Applications in NDE and SHM
• Katy Tant, Senior Lecturer in AI for Engineering, University of Glasgow - Model-based Deep Learning Approaches for Weld Tomography
• Gareth Pierce, Professor, University of Strathclyde - Use of AI and ML in NDT Defect Detection
• Rich Pyle, Research Associate, University of Bristol and Sergio Cantero Chinchilla, Lecturer, University of Bristol - The Application of Deep Learning to Ultrasonic NDT
• Channa Nageswaran, Technology Consultant, TWI Ltd - An Industrial Perspective on Adopting AI/ML into NDT Procedures

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