Visit Us

NXP Semiconductors

505  Total Views
Events
On Demand How to Easily Achieve High System Safety Levels for Autonomous and Electric Vehicles with NXP System Basis Chips
Vincent Largadelle Business Development for Safety and Power Management Vincent graduated from the INSA-T School as engineer in 2001. He has worked in different product engineering, team management, technical marketing and business development positions in the…
Jean-Philippe Meunier Jean-Philippe joined NXP in 1999. With a career in the electronics and semiconductor business focused in the Automotive market, he has held various positions in Product Engineering, Program…
On Demand
On Demand Redefining Connected Vehicles with Service-Oriented Gateways
Brian Carlson Global Marketing Brian Carlson is responsible for global marketing of automotive processors and solutions for vehicle control and networking. He focuses on enabling new innovations that can create new…
On Demand
On Demand Develop ML Applications with the Glow Neural Network Compiler and TensorFlow Lite for i.MX RT Crossover MCUs
Markus Levy Director of AI and Machine Learning Technologies Markus Levy joined NXP in 2017 as the Director of AI and Machine Learning Technologies. In this position, he is focused primarily on the technical strategy, roadmap, and marketing of AI and…
Anthony Huereca Anthony Huereca is a systems engineer at NXP focusing on embedded MCUs and machine learning on the edge.
On Demand
On Demand Implementing Functionally Safe xEV Power Inverter Designs Utilizing IGBTs or SiC MOSFETs
Vince McNeil, PhD Director & Manager, Powertrain & Electrification, Drivers & Energy Systems Vince is managing the growth of a portfolio of automotive analog products for traditional ICE and electrified powertrain applications. He has over twenty years of semiconductor industry…
Sandeep Kumar Sandeep is a functional safety professional with experience in embedded microcontroller-based system software with 6 years of hands-on experience. Sandeep holds a master's degree in…
On Demand
On Demand The Basics of Fault Management On Demand
On Demand The Rise of Radar On Demand
Videos

Machine Learning and Intelligent Vision for the Industrial Edge - NXP’s i.MX 8M Plus

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.

Industry White Papers

Evolving Automotive Safety Requirements Demand Efficient RADAR Processing

NXP MCUs strike the optimal performance-per-watt balance for hardware-accelerated, high-resolution RADAR systems designed for safer, smarter vehicles.

On Demand

The Rise of Radar

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.

View On Demand
Videos

High Voltage Battery Management System (Featuring NXP’s MC33771C)

In this product demonstration, BMS Systems and Applications Engineer Amélie Meyer showcases a high voltage battery management system use case featuring NXP's MC33771C.

Industry White Papers

How the Glow Compiler Optimizes Neural Networks for Low-Power NXP MCUs

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.

On Demand

The Basics of Fault Management

In this on-demand webinar, Functional Safety SBC Application Engineer Maxime Clairet discusses fault management as defined by the ISO-26262 standard.

View On Demand
Industry White Papers

Introduction to the eIQ Machine Learning Software Development Environment

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.

Other

i.MX RT600 Family of Crossover MCUs

The i.MX RT600 family of secure and embedded crossover MCUs are powering the next generation of ML/AI, voice, and audio applications.

New Products

Industry’s First MCU-based Implementation of Glow Neural Network Compiler for Machine Learning at the Edge

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.

Buy Now Datasheet