Artificial Intelligence

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Results for: AI verification

Building Confidence in AI with Constrained Deep Learning

Constrained deep learning is an advanced approach to training robust deep neural networks by incorporating constraints into the learning process. These constraints can be based on physical laws,... read more >>

Verification and Validation for AI: From model implementation to requirements validation 1

The following post is from Lucas García, Product Manager for Deep Learning Toolbox. This is the fourth and final post of our Verification and Validation for AI post series. Check out our... read more >>

Deep Learning Toolbox R2024a: Major Update and New Examples 2

On March 20th, MATLAB R2024a was released with many updates for Deep Learning Toolbox. Exciting new features for deep learning help engineers create and use explainable, robust, and scalable deep... read more >>

Verification and Validation for AI: Learning process verification

The following post is from Lucas García, Product Manager for Deep Learning Toolbox.  This is the third post in a 4-post series on Verification and Validation (V&V) for AI. The series... read more >>

Verification and Validation for AI: From requirements to robust modeling

The following post is from Lucas García, Product Manager for Deep Learning Toolbox.  This is the second post in a 4-post series on Verification and Validation for AI. In the first post, we gave an... read more >>

The Road to AI Certification: The importance of Verification and Validation in AI 1

The following post is from Lucas García, Product Manager for Deep Learning Toolbox. Artificial Intelligence (AI) is rapidly transforming our daily lives, from personal assistants on our... read more >>