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

AI Strategy: Where Does NXP Stand Now?
News

AI Strategy: Where Does NXP Stand Now?

Ali Ors, Director of AI Strategy and Partnerships, explained that NXP takes a “modular approach” toward its ADAS/AV solutions. The company’s two prongs are a perception domain (sensors) and a planner domain (actuation).

Blog

A Safety-First Approach to Central Computing

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

Blog

Public Safety and Security with Machine Learning at the Edge

Learn more about Arcturus Network’s machine learning application using an i.MX 8M Mini with the new eIQ software development tool to improve public safety.