How to simplify your embedded edge AI application development

Designing a power-efficient edge artificial intelligence (AI) system while achieving a faster time to market can become tedious in the absence of the right tools and software from an embedded processor vendor. Challenges include selecting the right deep learning model, training and optimizing the model for performance and accuracy goals, and learning proprietary tools for model deployment on the embedded edge processor.