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Training
Unlocking Efficient AI in Robotics with NPU Acceleration

Unlocking Efficient AI in Robotics with NPU Acceleration

About This Training

This training explores how NPU acceleration is transforming AI performance in robotics by enabling efficient, low-power processing at the edge. Featuring NXP’s applications processor and Advantech’s embedded platforms, the session covers key design considerations, hardware selection, and software optimization strategies. Attendees will gain insights into real-world robotics use cases and learn how to leverage NPUs to build scalable, intelligent, and energy-efficient autonomous systems.

Presentation

What You Will Learn

Understand how NPU acceleration improves AI performance and power efficiency in robotics
Explore the capabilities of the i.MX95 applications processor for edge AI applications
Learn how to select the right embedded hardware platforms for robotics designs
Discover strategies to optimize software and AI workloads for NPU architectures
Review real-world use cases of AI-enabled robotics systems

Presented by

Haku Sato
Senior Systems Architect, NXP Semiconductors
Jason Waldman

Director of Embedded Business Development, Advantech

MoreLess

DURATION

1 hr 2 min

LANGUAGE

English

SKILL LEVEL

Beginner

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Additional Resources

NXP i.MX95 Cortex®-A55 AOM-5521 AI-on-Module Nano

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