About This Training
Emergent machine learning (ML) technologies offer significant benefits for various in-vehicle use cases, such as Predictive Maintenance, Remaining Useful Life, Usage-Based Insurance, Battery Management, Energy Management, and more. NXP offers the automotive-grade eIQ® Auto Deep Learning Toolkit and S32G hardware to enable an efficient and faster development cycle for our customers. eIQ Auto supports front-end activities such as model optimization, conversion, tuning, and inference generation. This front-end support combines with optimized library components for fast execution on the S32G processors.
We will explore use cases that benefit from ML and how eIQ Auto and S32G-VNP-RDB2 and NXP GoldBox platforms leverage each other, showcasing NXP partner applications examples.