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Arcturus NXP Arm Tech Talk

Published by ARM

This whitepaper outlines how NXP and Arcturus enable edge AI applications, focusing on tools, optimization techniques, and scalable solutions. It explores the challenges of developing AI models at the edge, such as managing dependencies, runtime limitations, and data accuracy. The paper highlights NXP’s eIQ Machine Learning Software Development Environment, which supports various AI frameworks, including TensorFlow Lite and ONNX. It also discusses techniques like concurrent processing, model quantization, and tiling to optimize performance, enabling efficient deployment of AI models in real-world edge environments.

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