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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 class will provide an overview of the i.MX RT series, key peripheral, including a hands-on tutorial using the i.MX RT EVK.
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EUF-MHW-T1748 - This session will give an overview of the wearables for the IoT.
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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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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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Join this session to get a glimpse of where you will see i.MX 8/8X in the near future and why graphics, ML, AI, video, image processing, vision, connectivity, audio and voice functions make the i.MX 8 series ideal for Automotive and Industrial applications. Learn about the i.MX 8/8X families that are comprised of common subsystems establishing an unmatched range of performance scaling with pin-compatible options and the highest level of software reuse. In addition, learn more about the upcoming i.MX 8DualMax product line to help customers meet additional cost performance scaling across the i.MX 8 family.
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You will learn on edge computing application, showing technical challenge to "manage" gateway and security, Layerscape microprocessors solutions including EdgeScale framework in cloud services context.
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Learn about the off-the-shelf ML/AI IoT edge compute solutions.
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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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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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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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The Yocto Project (YP) is an open source collaboration project widespread in the embedded industry. It provides powerful and flexible tools and space for sharing technologies, software stacks, configurations and best practices. Learn what the YP is, how it can help you, what YP enablement there is for the i.MXs, how to get started and how to further leverage the potential of i.MX/YP solutions.
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Learn more about NFC's co-inventor product proposal and use cases.
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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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NXP increasingly offers a broad variety of software components, product, professional support and services. This section will describe, based on customer use case how NXP can help accelerate time to market and de-risk project development thanks to our professional support and services teams.
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This talk will review the driver, receiver, and common PCB characteristics and show how simulation with IBIS models are used to weigh the trade-offs for the DDR bus design. We will also review the high-speed signal channel and its characteristics and illustrate how the TX and RX circuits in general are used to offset signal losses, and discuss key characteristics of the channels that are needed to allow these TX and RX circuits to work effectively, such as minimizing return loss.
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