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YouTube Livestream: AI with Model-Based Design

Overview

In this session, we will talk about how you can incorporate AI in Model-Based Design and how MATLAB and Simulink help address the challenges of AI development for engineered systems.

Model-Based Design, the systematic use of models throughout the development process, is a proven way of developing complex systems with efficiency and reduced risks. The use of modeling and simulation has become an integral part of product development in almost all industries and is reaching new levels with the incorporation of AI models.

AI techniques complement traditional methods and have some unique advantages. However, designing systems with AI components has its own set of challenges. How can you combine the power of Model-Based Design with the benefits of AI for system development?

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About the Presenter

Tianyi Zhu is a product marketing manager for Simulink and Model-Based Design at MathWorks. He holds M.S. and B.S. degrees in Electrical and Computer Engineering, both from Carnegie Mellon University.

Arkadiy Turevskiy is a Controls and Deep Learning product manager at MathWorks. Prior to MathWorks, Arkadiy was a control and modeling engineer at Pratt & Whitney.

Product Focus

AI with Model-Based Design

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