Wire report
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!
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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!
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According to IEEE Spectrum’s linked item, 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!
Context
The development sits in VINI’s Technology coverage for readers following technology, science, product policy, markets, infrastructure, and the public consequences of innovation. The original report is linked so readers can check the source account, follow later updates, and compare new coverage against the first published record. The linked item is dated 2026-05-25T10:00:01+00:00.
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Source
Primary source: AI with Model-Based Design: Virtual Sensor Modeling via IEEE Spectrum. VINI cites and links the source; it does not reproduce the publisher’s full article text without rights clearance.
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Source links
- AI with Model-Based Design: Virtual Sensor ModelingIEEE Spectrum - 2026-05-25T10:00:01+00:00
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