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Technology Days - Training Material

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Introducing Murata Wi-Fi IBT Connectivity Modules for NXP i.MX & RT Platform.
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The NXP® eIQ™ machine learning software development environment enables the use of ML algorithms on NXP microcontrollers and microprocessors. eIQ software includes inference engines, neural network compilers and optimized libraries. This software not only leverages open-source technologies, it is fully integrated into our MCUXpresso SDK and Yocto development environments, allowing you to develop complete system-level applications with ease.
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Understand the value, benefits and features  of Arm's latest Cortex-M33 core through a LPC5500-based product training and hand-on session.
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This session will reacquaint the audience with the NXP MEMS sensor portfolio, highlighting the latest products, development tools, and algorithms aimed at Industrial and Medical IoT market segments.
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Time-sensitive automotive Ethernet network can increase the precision, reliability, robustness and network security of in-vehicle network and enhance the way toward autonomous driving. The NXP SJA1105x family is one of first TSN-capable automotive Ethernet switches. It can support: IEEE® 802.1Qbv time-aware shaping and the IEEE 802.1Qci per-stream policing. During the presentation, the use cases of core TSN specifications will be discussed.
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In this section, NXP (SIP) will introduce the key products surround the USB Type-C connectors. The section will covers Power Delivery Controller, Power Delivery PHY, CC logic controller, high speed switch and high speed redriver. We will go over NXP Type-C hardware architecture, differentiation and product advantage.
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With the secure CAN transceiver, NXP offers a very efficient hardware based security solution for CAN Networks, complementing the overall NXP 4+1 layered security approach. This sessions clarifies, the different use cases and how STINGER helps on system level for a highly efficient solution.
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At NXP, our broad portfolio of analog, interface and NFC solutions means that we are able to offer complete solutions around the core. With a range of options that attach to any core, our product expertise in areas such as NFC, power management, networking and interfaces is deep-rooted.
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Solutions from NXP provide the right hardware, modular software, certifications, partners and documentation to accelerate time-to-market for our customers. Join this class to experience a deep dive on what is delivered from the newly launched SLN-POS-RDR Card Reader Solution.
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Extending the scalable range of the i.MX product line, the i.MX 8 series establishes an unmatched range of cost-performance scaling with pin-compatible options and the highest level of software reuse. Built with a high-level integration to support graphics, video, image processing, vision, audio and voice functions, the i.MX 8 series transforms your everyday interactions. Preview the next generation i.MX 8 series applications processors for Automotive, Consumer and Industrial applications.
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This class will provide an overview of NXP's broad and scalable MCU portfolio and give details on which product families are available for different markets and use cases. It will also give an overview of the unified tools, software and solutions that enable the portfolio as well as a demo presentation across the MCU portfolio.
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From media & graphics-focused applications to networking & communications-focused applications, and all the edge-processing applications in between, you are sure to find a processor & ecosystem to optimize your design within NXP’s scalable portfolio of Arm® devices. Presenters: Marcel Baessler, Arrow Franck Roux, Products and Solutions Marketing Manager, NXP
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Near-field-communication (NFC) is the better, safer way to protect brands while ensuring ease of use for accessories and consumables. With NFC, the device itself can verify the authenticity and can configure operating modes or change settings based on the type of accessory or consumable. With a standard NFC phone, a user can check the originality or trigger a reorder through a simple tap. In this presentation we will show which options exist on NFC tag and reader side, and how to implement a solution in a practical example.
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LX2160A is NXP’s highest performance multicore device with 16 Arm-v8 64-bit A72 cores at up to 2.2 GHz. It also has 24 SerDes lanes running at 25 GHz supporting dual 100GE interfaces and up to 24 lanes of PCIe Express. It has security acceleration to 50 Gbps and data compression/decompression to 100 Gbps. This session will explain LX2160A’s suitability for the main target applications (5G, industrial, ADAS, storage, NIC, and edge routing), benchmarking results (CoreMark, Dhrystone, DPDK, SpecInt, …), software and reference board enablement, 3rd-party board solutions, and how it stacks up against the Xeon-D family of devices.
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Sensors are key to differentiate your products in the market and add context awareness, tamper detection, a robust user interface and accurate media compatibility. This class will step through some of key the leading applications in the Medical and Industrial markets that have found usage of motion and pressure sensors as well as some up and coming applications. 
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This session will provide an overview of the NXP wireless charging solutions portfolio and the reason of why NXP adopts Qi technology. Attendees will have a clear understanding about transmitter and receiver reference designs available for the automotive applications as well as the extension to consumer and infrastructure markets.
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Getting started with MCUXpresso SDK, IDE, and Config tools.
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Machine learning can performed on a wide range of device categories - from MCUs with Arm® Cortex®-M4 and M7 cores to complex SoCs with high-end A-class cores, GPUs, DSPs, and dedicated machine learning accelerators. The first step is learning how to utilize proper training techniques for model development, but beyond that how to generate optimized inference engines that can be used to perform classifications, anomaly detection, predictions, and other types of decisions. This presentation highlights some basic training techniques, such as data augmentation, but the primary focus will be on various ways to deploy neural network frameworks and classical machine learning algorithms, and most importantly, utilizing a variety of open source tools and techniques. We will show how these techniques fit in with some real use cases such as object recognition and anomaly detection.
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Introduction to the new i.MX 8 and 8X automotive applications processor product families and associated target applications, development tools, and software ecosystem.
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