Tech Insights

Fresh insights on artificial intelligence, connectivity, processing, safety & security shaping the IoT and automotive.

December 4, 2019

Meet the i.MX 8M Nano

NXP’s latest quad-core applications processor for secure, affordable and intelligent edge computing has landed. Built on the success of the […]
November 21, 2019

iOS 13 and MIFARE power innovative Smart City use cases

In recent weeks, with all the press coverage about iOS 13, you may have heard how the new operating system […]
November 20, 2019

NXP Solves Vulnerability Detection Challenge for Developers with New Automated Tool

According to VXCHNGE, there will be 20.4 billion IoT devices by 2020. That is a staggering number, no doubt! But […]
October 23, 2019

Cut the compromise: virtualization is good for performance and safety

I recently took the opportunity to catch up with OpenSynergy’s Stéphane Turlier about our collaboration on electrification architectures for the […]
October 10, 2019

i.MX RT Crossover MCUs – Maximizing your Design Flexibility

With the newly released i.MX RT1010 crossover MCU starting at $1 USD MSRP (for volume production) and the newly announced […]
October 9, 2019

iOS 13: What’s in for NFC Connected Tags?

Apple’s recent announcement that iOS 13 includes full support for Near Field Communications (NFC) suddenly makes the infrastructure for NFC […]
October 8, 2019

Unlock eCockpits and Camera Monitoring Systems with i.MX 8QuadMax Ecosystem Partners

True integrated eCockpits for cars, multi-camera monitoring in industrial systems, and multi-domain systems requiring both open access and safety/security are […]
October 2, 2019

An Order of Magnitude: Launching the Gigahertz MCU Era

Over time, advancement for general purpose microcontrollers has essentially been… incremental. Traditionally, microcontrollers are built in older, lower cost wafer […]
September 30, 2019

Scalable Machine Learning Solutions Take Center Stage for NXP at Arm TechCon

We all like to talk about the super high-end of machine learning with computer vision algorithms running on a turbo-charged, […]
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