Machine learning opened up new ways of solving technical challenges by training models on data instead of directly implementing rules & logic. This offers a lot of new opportunities for solving difficult problems.
However, sometimes it can also be useful to combine these machine learning models with (expert) rules, to get the best possible outcome and leverage the benefits of both expert knowledge as well as machine learning models.
Hybrid AI is the name of this field, and focuses on combining non-symbolic AI (eg. machine learning), with symbolic AI (eg. expert rules). Our speakers, Prof. Sofie Van Hoecke (PreDiCT) and Matthias Feys (ML6), will give you an overview of this field by tackling the following topics:
- Why and when Hybrid AI is relevant for your situation.
- An overview of different ways to combine rules with machine learning models.
- Concrete examples where hybrid AI was implemented.
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