← Back to Model Beat
3Research·May 25

AI with Model-Based Design: Virtual Sensor Modeling

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. Highlights Integrate AI models into Simulink for system-level simulation, verification, and simulation-based testing Apply formal verification techniques to assert neural network behavior Compress the AI model for memory footprint reduction and execution speedup Generate library-free C code from AI models and performing PIL tests Profile code performance and evaluate design and model selection tradeoffs Design and train AI-based virtual sensors using MATLAB Register now for this free webinar!

Covered by 1 source

Related stories

ResearchSakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modules - MarkTechPostMay 27 · 2 sourcesResearchAnthropic opens Milan office to support Italian enterprise, research, and developers - AnthropicMay 27 · 3 sourcesResearchIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026May 28ResearchRadar Can Tell the Difference Between Insect SpeciesMay 23