AI with Model-Based Design: End-to-End Virtual Sensor Modeling Workflow

This webinar outlines a comprehensive workflow for developing AI-based virtual sensor models for embedded systems. Key aspects include:

• Integrating AI models into Simulink for system-level simulation and verification.
• Applying formal verification techniques to ensure neural network behavior.
• Compressing models to reduce memory footprint and improve execution speed.
• Generating library-free C code from AI models and performing PI tests.
• Profiling code performance and evaluating design tradeoffs.
• Designing and training AI-based virtual sensors using MATLAB.