AI with Model-Based Design: Virtual Sensor Modeling

<img src="https://spectrum.ieee.org/media-library/mathworks-logo-with-3d-wave-symbol-and-text-mathworks.png?id=26851519&width=980"/><br/><br/><p>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.</p><p><strong>Highlights</strong></p><ul><li>Integrate AI models into Simulink for system-level simulation, verification, and simulation-based testing</li><li>Apply formal verification techniques to assert neural network behavior</li><li>Compress the AI model for memory footprint reduction and execution speedup</li><li>Generate library-free C code from AI models and performing PIL tests</li><li>Profile code performance and evaluate design and model selection tradeoffs</li><li>Design and train AI-based virtual sensors using MATLAB</li></ul><div><span><a href="https://content.knowledgehub.wiley.com/ai-with-model-based-design-virtual-sensor-modeling/" target="_blank">Register now for this free webinar!</a></span></div> Reference: https://ift.tt/76cHAQ5