Verification and Validation for AI with MATLAB and Simulink

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Verification and validation (V&V) techniques help identify and mitigate risks by demonstrating that AI models and AI-driven systems adhere to industry standards and regulations.

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How to apply the W-shaped development process for the verification and validation of AI models using MATLAB^® and Simulink^®
Proven methods for AI models to maintain reliable performance even when faced with unexpected inputs
How to ensure your AI is safe, reliable, and ready for real-world deployment

Learn More

The Road to AI Certification: The Importance of Verification and Validation in AI - Blog
Verification and Validation for AI: From Requirements to Robust Modeling - Blog
Verification and Validation for AI: Learning Process Verification - Blog
Verification and Validation for AI: From model implementation to requirements validation - Blog

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