Artificial Intelligence and Machine Learning

Machine learning

Artificial intelligence (AI) and machine learning (ML) requires an inseparable combination of processing power and software.

The shift of high-performance processing from the cloud to the edge significantly decreases bandwidth requirements, reduces latency, and maintains privacy. These are the key factors for automotive, industrial, and an infinite range of Internet of Things (IoT) applications.

AI opens entirely new opportunities for the automotive industry to help solve global mobility challenges. Working in close collaboration with leading academic institutions, research organizations and pioneering technology firms – NXP is at the forefront in the development of automotive AI solutions.

Scale with our broad IC portfolio ranging from MCUs to application and networking processors.

Beginning with an optimized portfolio of ICs that range from MCUs to application and networking processors, customers can select the exact device for their Machine Learning applications. NXP provides the processing performance that scales to support a three-axis trade-off between accuracy, inference time (user experience), and cost.

With a comprehensive support tool designed to work with our processing platforms, NXP helps customers easily implement Machine Learning across the landscape of automotive, industrial, and IoT applications.

Scale with our broad IC portfolio ranging from MCUs to application and networking processors image

Our AI core technologies enable AI and machine learning for automotive, industrial, and IoT applications.

NXPs AI and ML automotive solutions add more intelligence to the “sensing”, “thinking”, and “acting” processes of automated cars to help solve global mobility challenges toward zero road fatalities, zero emissions, and zero time wasted.

For IoT, Industrial, and beyond, NXPs eIQ Artificial Intelligence Development Environment provides the essential building blocks that developers require to deploy machine learning in their devices.

What's New


A Safety-First Approach to Central Computing

NXP and Kalray co-develop a central computing platform with safety as a foundation.


Enabling industry 4.0 with NXP’s MCU-based machine learning solution for power-conscious end nodes

On-demand webinar on how to make the most of NXP’s latest Arm Cortex-M33 based MCU for your power-conscious machine learning application.


Machine Learning and Facial Recognition with Edge Computing

Watch a deep dive into how NXP processing capabilities are enabling more efficient inferencing and facial recognition at the IoT using Edge Computing.