How can AI leverage Smart Manufacturing?
The main goal of this Second Edition (results 2022) is to discuss & demonstrate how AI can be made more reliable, scalable and robust, when supported by a formalized domain knowledge.
On this event, the full architecture where AI and formal knowledge are orchestrated will be demonstrated in different applications, namely:
- Intelligent Production,
- Smart Machines,
- Flexible manufacturing.
In cooperation with different research teams in the Flanders AI Research program, Flanders Make is developing proof of concepts to demonstrate how AI can be introduced in a manufacturing system to make it smarter and Industry 4.0 compliant.
This event targets an industrial audience, where two speech sessions and demos sessions will be organized in order to discuss and demonstrate AI as key enabler for Smart Manufacturing and Industry 4.0 transition.
|13:00||Registration & snacks|
AI in Flemish industry & AI research opportunities in Flanders
|14:00||Part 1: Domain knowledge in the training of AI models
AI models only provide relevant outputs if they are trained with relevant knowledge. In this session, we provide how domain-knowledge can be formalized to provide relevant training knowledge for AI models.
|16:00||Part 2: Domain knowledge for online and realtime applications
To achieve high accuracy & robustness in a specific application, the AI models / predictors need to be constrained by more deterministic information. In this session, different industrial system’s architectures will be demonstrated to highlight this concept and explain how domain knowledge can improve accuracy & robustness of AI models.
|17:30 - 19:30||Networking & walking dinner (with posters by PhD students)|
This event is free, but if you want to join you'll need to register via the form below.
Registrations are closed.