Application Artificial Intelligence in Metallurgy & Materials – Part 1

This international seminar brings together experts from around the world to explore the exciting intersection of Artificial Intelligence (AI) and the fields of metallurgy and materials science. Organized by the University of Leicester and the University of Science and Technology Beijing, the seminar offers a unique opportunity to learn about the latest advancements in AI and its potential to revolutionize the way we develop and manufacture materials.

Key Themes:

● Harnessing AI in Metallurgy: Professor Hongbiao Dong will delve into how AI can be applied to optimize steel manufacturing processes.
● Empirical Learning in Materials Science: Professor Harry Bhadeshia will explore the role of empirical learning in advancing materials science research.
● AI Applications: The seminar will cover a wide range of AI applications relevant to materials science, including neural networks, optimization algorithms, uncertainty treatment, and their applications in manufacturing processes.
● Material Focus: Discussions will encompass a variety of materials, including steels and other relevant materials for various industries.
● International Collaboration: The seminar promotes international collaboration by featuring presentations and participation from experts across the globe.

Who Should Attend?

This seminar is ideal for:

● Metallurgical and materials science researchers
● Engineers working in materials development and manufacturing
● Computer scientists interested in applying AI to materials science
● Anyone interested in the future of AI and its impact on industrial processes

Additional Information:

○ The seminar is organized by a distinguished committee led by Professor Hongbiao Dong (Symposium Chair) and Professor Jianxin Xie (Symposium Co-Chair).

○ Further details about registration and the full program may be available through the Universities of Leicester and Science and Technology Beijing.

○ This seminar promises to be a valuable learning experience for anyone interested in the transformative power of AI for the future of metallurgy and materials science.