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Vehicle Edge Processing with eIQ^® Auto and S32G processors

Vehicle Edge Processing with eIQ^® Auto and S32G processors

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.

Presentation

Vehicle Edge Processing with eIQ^® Auto and S32G processors

What You Will Learn

Learn more about Connected Vehicles and Data opportunities
Understand the role of Edge Processing and Machine Learning (ML)
Get an overview of the latest S32G processors
Understand the challenges and solutions for Edge Processing
Get to know closely the NXP eIQ^® Auto Deep Learning Toolkit

Presented by

Kushal Shah
Systems Engineer, NXP Semiconductors

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期間

38 min

言語

英語

スキルレベル

高度な

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Additional Resources

S32G Vehicle Network Processors

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