Artificial Intelligence in the Semicon Industry - optimize your production processes with industrial AI
Reliable and value-adding AI implementations in an industrial context currently require a holistic approach: It includes hardware, IT infrastructure, a machine learning (ML) model and industrial-grade operations of data- and software pipelines.
ML models typically rely on static historic extracts of generally dynamic data for training. However, data and concepts may change rapidly and even in a hidden manner, especially in industrial environments.
In this webinar we will outline the realization of robust industrial AI relevant to the Semiconductor industry:
- Leveraging distributed compute, e.g., using Industrial Edge installations we will outline how continuous learning and optimization with ML and mathematical optimization methods allows to reduce manual effort and increases reliability and robustness in continuous productive operation.
- As a result, we are able to demonstrate efficiency impact by reducing power and resource consumption or increase yields in Integrated Circuits (IC) Manufacturing as well as Wafer Manufacturing plants.
In our webinar series #TalkingElectronics you will learn how our holistic Digital Enterprise portfolio can help you to optimize your Electronics business. Different experts will present some of the proven solutions and concepts that are driving the Electronics Industry now and in the future.
You have many options to participate in our webinars. As a participant you only need a stable internet access and an up-to-date browser. You will hear the sound through your speakers or headphones. You can access the link to the webinar via different web browsers. We have had the best experience with Mozilla Firefox and Google Chrome. No additional software needs to be downloaded to participate in the event. Access is also possible for mobile devices.
You don't need a microphone or webcam.
As a participant you are automatically muted during the webinar. You can ask your questions to the moderator via chat.