Wi-Fi 6 is the latest standard in WLAN technology also known as 802.11ax. This enables almost four times faster speed over the previous technology 802.11ac. NXP has been developing front end IC to support this upcoming technology and have won the reference design with a leading SoC vendor. In this course, participants will learn the key features of Wi-Fi 6 and how NXP FEIC will solve those challenges to deliver a cutting edge solution.
Artificial intelligence and machine learning (AI/ML) are revolutionizing the industrial world. For maximal impact, AI/ML must be done close to where data is generated and the output of analysis used. It's an ideal workload for edge computing and complements NXP’s EdgeScale cloud-based device-management platform. Layerscape processors are well suited to hosting AI/ML workloads. Software from NXP and third parties helps enable developers to create industrial applications using AI/ML technology. These applications can be distributed, Layerscape-based edge nodes with endpoints performing multiple tasks including: addressing condition monitoring or first-level classification; running popular edge frameworks to deliver cloud-like services on premises, aggregating data from multiple endpoints or performing additional analysis; running cloud-based software analyzing data for long-term trends.
Emerging Connected and Automated Vehicles (CAVs) require far more compute horsepower, more memory bandwidth, and more high speed IO connectivity than the vehicles in show rooms today. NXP’s highest performance multicore Arm product family (Layerscape) was developed for networking and industrial infrastructure, however their integration and performance per watt has made them attractive in a variety of ‘transportation’ applications, including planes, trains, and now, automobiles. This session will provide an overview of the product family, and its transportation centric use cases.
High performance processing in systems with high functional safety requirements has historically been a small segment in the overall processing market. Aerospace, high-end industrial, train & power grid control are traditional applications requiring high computing power with high fault detection coverage, and this ‘niche’ is exploding due to highly autonomous vehicles. This session will review the use of NXP’s multicore processors in traditional safety critical applications, and the retroactive analysis of the Layerscape product family’s fault detection mechanisms and coverage.
Learn about capabilities, contents of the kit and how to engage with third party supply kit, AutonomouStuff. Understand the target applications and the value proposition. Target Audience: Customers who are looking for rapid prototyping environment with a path to embedded automotive silicon for Level 2/3 autonomous driving systems.