NXP Semiconductors

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Machine Learning and Intelligent Vision for the Industrial Edge - NXP’s i.MX 8M Plus

The i.MX 8M Plus applications processor integrates dual camera image signal processing acceleration and a neural net processor to accelerate machine learning at the edge. In addition, the SoC includes ECC and a TSN-enabled Ethernet controller for Industry 4.0. While many things are changing in industry, important aspects remain constant -- the need for reliability, longevity, and the ability to operate in harsh conditions.

Industry White Papers

Evolving Automotive Safety Requirements Demand Efficient RADAR Processing

NXP MCUs strike the optimal performance-per-watt balance for hardware-accelerated, high-resolution RADAR systems designed for safer, smarter vehicles.

Webinars

The Rise of Radar

How did radar become such an important part of the ADAS landscape, how are carmakers approaching the technology, and what does the future hold for radar? In this on-demand webinar, NXP Semiconductors looks into these questions and more.

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Videos

High Voltage Battery Management System (Featuring NXP’s MC33771C)

In this product demonstration, BMS Systems and Applications Engineer Amélie Meyer showcases a high voltage battery management system use case featuring NXP's MC33771C.

Industry White Papers

How the Glow Compiler Optimizes Neural Networks for Low-Power NXP MCUs

Learn how the machine learning framework, Glow, a neural network (NN) model compiler, is integrated into the MCUXpresso SDK, which packages the Glow compiler and quantization tools into an easy-to-use installer, detailed documentation, and labs.

Webinars

The Basics of Fault Management

In this on-demand webinar, Functional Safety SBC Application Engineer Maxime Clairet discusses fault management as defined by the ISO-26262 standard.

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Industry White Papers

Introduction to the eIQ Machine Learning Software Development Environment

The eIQ software development environment leverages inference engines, neural network compilers, optimized libraries, deep learning toolkits, and open-source technologies for easier, more secure system-level application development, ML algorithm enablement, and auto-quality ML enablement.

Other

i.MX RT600 Family of Crossover MCUs

The i.MX RT600 family of secure and embedded crossover MCUs are powering the next generation of ML/AI, voice, and audio applications.

New Products

Industry’s First MCU-based Implementation of Glow Neural Network Compiler for Machine Learning at the Edge

NXP has developed the world's first MCU-based implementation of Glow, a neural network compiler developed by Facebook, to accelerate machine learning at the edge applications.

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