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Training
Unlocking Efficient AI in Robotics with NPU Acceleration

Unlocking Efficient AI in Robotics with NPU Acceleration

July 30 2026 09:00 AM CST

Times are shown in your local time.

Language

English

About This Upcoming Webinar

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.

Not sure you can join? You should still register! Slides and a recording of the session will be available after the webinar.

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

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Additional Resources

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

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