FWO organises a hands-on course on AI for the materials industry

Artificial Intelligence (AI) is becoming omnipresent in materials research as well as industrial production. The reason is its capacity to make optimal use of available data, which is only becoming more plentiful in times of industry 4.0. The hands-on session of June 27 introduces you to Materials AI through two practical case studies. In each case study, special attention is given to explainable AI (xAI). xAI aims to return materials insight to models which can otherwise be difficult to interpret. The case studies focus on the topic of detecting defects on a material surface, in this case steel plates.

This hands-on session is part of the AI4MI course project and will take place in an interactive environment on the Flemish Supercomputer, using the Python programming language. Example code will be provided in graphical notebook format, but it is recommended to learn basic Python before attending.

More info on the case studies, the agenda, and the possibility to register can be found here.