Explore the power of AI in system design with MATLAB and Simulink in this on-demand webinar. Dive into practical strategies to enhance your development workflow through Model-Based Design, integrating AI models seamlessly into complex systems.

This session offers an in-depth look at leveraging Simulink to build AI-enhanced models, incorporating real-world examples such as lane and vehicle detection using deep learning.

This webinar provides actionable insights to guide your journey, whether you’re navigating autonomous driving systems or deploying AI across embedded applications.

Webinar Objective:

How to build AI functionality into your System

Agenda:

• AI-Driven System Design
• Integrating AI Models into Simulink
• Different AI blocks for different applications
• Case Study: Use AI for Vehicle Detection in Autonomous Driving Applications
  – Choosing an AI Network to Use With Simulink
  – Testing AI Network in a Virtual Environment
  – Using YOLO v2 Network in a Lane Following Control Algorithm
  – Deploying to Many Targets With Zero Coding Errors
  – Preparing Your Model for Deployment

• Summary

Featured products

All products mentioned in this webinar are developed by MathWorks.

• MATLAB
• Simulink
• Deep Learning Toolbox
• Statistics and Machine Learning Toolbox
• Embedded Coder
• Simulink Coder

How to Access:

To watch the webinar, simply fill out the form on this page. Once registered, you’ll gain immediate access and can watch it directly on the page. Additionally, you’ll receive an email with a link to access the on-demand session at your convenience.