This webinar presents a workflow offering end-to-end solutions for designing, training, validating and verifying, compressing, and deploying AI-based virtual sensor models to embedded processors within a single environment.HighlightsIntegrate AI models into Simulink for system-level simulation, verification, and simulation-based testingApply formal verification techniques to assert neural network behaviorCompress the AI model for memory footprint reduction and execution speedupGenerate library-free C code from AI models and performing PIL testsProfile code performance and evaluate design and model selection tradeoffsDesign and train AI-based virtual sensors using MATLABRegister now for this free webinar!