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.
NXP MCUs strike the optimal performance-per-watt balance for hardware-accelerated, high-resolution RADAR systems designed for safer, smarter vehicles.
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.
In this product demonstration, BMS Systems and Applications Engineer Amélie Meyer showcases a high voltage battery management system use case featuring NXP's MC33771C.
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.
In this on-demand webinar, Functional Safety SBC Application Engineer Maxime Clairet discusses fault management as defined by the ISO-26262 standard.
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.
The i.MX RT600 family of secure and embedded crossover MCUs are powering the next generation of ML/AI, voice, and audio applications.
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.
Don't have an AAC account? Create one now.
Forgot your password? Click here.