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  "path": "/ai-with-model-based-design-virtual-sensor-modeling/",
  "publishedAt": "2026-05-25T10:00:01.000Z",
  "site": "https://content.knowledgehub.wiley.com",
  "tags": [
    "Ai-modeling",
    "Battery-management-systems",
    "Neural-netwoks",
    "Validation-verification",
    "Virtual-sensors",
    "Type-webinar",
    "Register now for this free webinar!"
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  "textContent": "\n\n\n\nThis 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.\n\n**Highlights**\n\n  * Integrate AI models into Simulink for system-level simulation, verification, and simulation-based testing\n  * Apply formal verification techniques to assert neural network behavior\n  * Compress the AI model for memory footprint reduction and execution speedup\n  * Generate library-free C code from AI models and performing PIL tests\n  * Profile code performance and evaluate design and model selection tradeoffs\n  * Design and train AI-based virtual sensors using MATLAB\n\n\n\nRegister now for this free webinar!",
  "title": "AI with Model-Based Design: Virtual Sensor Modeling"
}