辽宁福彩十二选五玩法:AI & Machine Learning

Artificial Intelligence and Machine Learning

Machine learning - ★十一选五走势辽宁★ 十一选五走势辽宁 www.ubte.net

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 IC’s that range from MCU’s application and networking processors, customers can select the exact device for their Machine Learning requirements. Depending on the Edge Node, we provide the processing performance that scales to support a three-axis tradeoff between accuracy, inference time (user experience), and cost.

With a comprehensive array of support tools designed to work with our processing platforms, NXP helps customers easily use and 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.

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

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

What's New

White Paper

Artificial Intelligence of Things

In this whitepaper, NXP examines how the shift of high-performance processing from the cloud to the edge of networks has enabled the Internet of Things (IoT) to thrive, and how this paradigm shift has laid the foundations for AI to unfold its true potential.

NXP Launches eIQ
News

NXP Launches eIQ

New Machine Learning Development Environment for the Edge.

Layerscape Processors - excelling at AI Image
Blog

Layerscape Processors - excelling at AI

The Layerscape processors are gaining traction in several artificial-intelligence applications such as security and surveillance, home and building automation, factory safety, and machine inspection. Read this blog to find out why.