Accelerating Vehicle Intelligence with Machine Learning | NXP Semiconductors

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Accelerating Vehicle Intelligence with Machine Learning

Accelerating Vehicle Intelligence with Machine Learning

About This Training

Learn about the S32 eIQ® Auto machine learning software development environment that enables deployment of your trained models for S32Z2/E2, S32G and S32K3 devices for heterogeneous execution including general purpose Arm® cores, internal coprocessors or external accelerators. This video will feature an overview of the workflow and the AI/ML use cases: battery cell estimation, road surface classification, vehicle health monitoring and others while providing an example of a deployment for hands-on demonstration.

Presentation

Accelerating Vehicle Intelligence with Machine Learning

What You Will Learn

Understand a typical machine learning workflow with common automotive use cases, the key characteristics of eIQ Auto and how it fits with the S32 device family
Get an overview of the components and tools of the eIQ® Auto ML Software Development Environment
Explore eIQ® Auto Product Value Proposition

Presented by

Gergely Simon
Senior Automotive Solutions System Engineer, NXP Semiconductors
Nikhil Reddy Kothapally
Automotive Software Product Manager, NXP Semiconductors

DURATION

44 min

LANGUAGE

English

SKILL LEVEL

Intermediate

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