If you think of all the different components you can have in a Simulink model, at the end of the day, you can separate them into two groups. You have a component that models the environment and a collection of algorithms that are under development. Now eventually, you would want to take those algorithms and deploy them.

The integration of trained AI models into Simulink® – a product developed by MathWorks – often serves two purposes. The first one is to incorporate AI models into the algorithms that will be used in the future. The second purpose is to employ AI to model data-driven environments.

In this webinar, we will be showing the features and capabilities that can be applied to both use cases. But, the main focus of the examples will be on algorithm development.

• What is AI
• MathWorks AI solutions
• Examples where AI can prove to be useful
• Benefits of integrating AI models in Simulink
• How to bring machine and deep learning models into Simulink