AI with Model-Based Design: Virtual Sensor Modeling
TL;DR
This MATLAB-focused webinar walks through an end-to-end workflow for AI-based virtual sensors: design, training, validation, and deployment to embedded processors — all in one environment. It covers integrating AI models into Simulink for system-level simulation and applying formal verification to neural network behavior. The session also shows how to compress models for memory and speed, generate library-free C code, and run processor-in-the-loop tests.
Nauti's Take
For embedded engineers, an end-to-end toolchain from model design through formal verification to C-code deployment is a real productivity win — especially in automotive and industrial work. The catch: it locks you deep into the MathWorks ecosystem with matching license costs, and the webinar format is clearly marketing-driven.
Worth it for pros already on Simulink, less relevant for hobbyist teams or pure Python/PyTorch setups.
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