In this free webinar, NXP’s Gergely Simon and Nikhil Reddy Kothapally explain how to use the S32 eIQ® Auto platform to enable deployment of trained models for S32 Automotive Platform devices for heterogeneous execution, including general purpose Arm® cores, internal coprocessors, and external accelerators.

The experts also provide an overview of the workflow, AI/ML use cases (battery cell estimation, road surface classification, vehicle health monitoring), and a hands-on demonstration of model deployment.

Key topics and takeaways:

• Understand a typical machine learning workflow with common automotive use cases
• Explore the key characteristics of eIQ Auto, and discover how it fits with the S32 device family
• Gain insight into the components and tools of the eIQ® Auto ML software development environment