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
source & further reading
content.knowledgehub.wiley.com — original article
Why RF Coexistence Testing Is Critical for Shared Spectrum
Why Mastering EVM Is Essential for Next-Generation Wireless Systems
Ten Technology Enablers Shaping the Future of 6G Wireless