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Technology Days - Training Material

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Review of NXP’s current CAN portfolio and CAN functions, our support for CAN FD and an overview of the breakthrough products keeping CAN highly relevant for the new generation of vehicles.
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With its broad portfolio, NXP is uniquely positioned to propose a full system allowing a scalability from NCAP to L4/L5 autonomous driving. To address such scalability, NXP has faced some challenging decisions about the system partitioning, performance, safety decomposition, AI Acceleration and Programming language. All these challenges will be addressed during the session.
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Learn about the automotive microcontrollers innovative applications.
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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.
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This presentation provides an overview of the new toolchain to support the S32 platform of MCUs and application processors, this includes an IDE with new project generation, extensive collateral for ease of use and getting started as well as the next-generation Debugger tools, a new Flash tool specifically design for the S32 platform, the S32 configuration tool plus numerous software products integrated into the toolchain for ease of customer use.
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The PF81 and PF82 PMIC family is designed for high-performance processing applications such as infotainment, telematics, clusters, vehicle networking, ADAS, vision and sensor fusion. It is ideal for i.MX 8, i.MX 8X, S32V, and Networking processors in Automotive, Industrial, and Consumer applications. In this session we will offer a detailed overview of the family, its features and advantages of scalability and functional safety
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S32K11x, S32K14x product and solution, migration to future S32K products.
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Get to know the latest offering from the leading supplier in Automotive and Industrial controllers. This class will first give you an overview of our benchmark next-generation S32 hardware, software and tool enablement, Then go over the latest product offering of the #1 Automotive MCU S32K with its new reference design, software and tools enablement which will introduce you to the popular and powerful S32V vision processor for mass market applications including new software library enablement for AI CNN and DNN applications.
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Do you need a robust MCU for high reliability and safety applications? Join this class to learn about the S32K MCU platform which offers auto grade, CAN-FD, lower power, hardware and software scalability and a minimum 15 year longevity.
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S32V234 vision product family introduction.
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2019 is forecasted to be the year that voice will move beyond smart speakers to all segments of the IoT/industrial market. In this class we will give an overview of different architectures and solutions that can be implemented based on NXP processors.
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If you find yourself in need of using a low cost co-processor to act as a communications hub, why not consider a GPIO expander?  With the features in our latest GPIO expanders, this device can almost mimic a low cost MCU while being more cost-effective and reducing the complexity of your system. Come learn about the features and benefits, and actually see the GPIO expander in action on a simple PCB you’ll experiment with in this class.
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Presented by Cao Nan, Nanjing Normal University Presented at DwF Kinetis MCUs Based on ARM® Technology Nanjing - 12 March 2015
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Presented by Taki Chow, Advantech Presented at DwF Kinetis MCUs Based on ARM® Technology Nanjing - 12 March 2015
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Presented by LIANG PING Presented at DwF Kinetis MCUs Based on ARM® Technology Nanjing - 12 March 2015
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