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Technology Days - Training Material

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The MQX Application Builder is the most recent addition to the MCUXpresso Config Tools. In this session you will use this powerful tool to rapidly create a sophisticated IoT application without requiring detailed knowledge of the protocols used, or how to configure them. By the end of the session you will have created an application that serves up customized web pages, uses the REST and MQTT protocols to remotely access key application parameters, interfaces with a cloud server, synchronize with a time server, remotely control your application with Lua Scripting Language, and more. Learn the power of using the MQX platform over other operating system such as FreeRTOS.
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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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When choosing the NFC device for a new design, the system architect must consider many parameters. Usually a strong focus is put on hardware specific aspects and software aspects are often grossly underestimated. To avoid unpleasant surprises during software implementation phase, software has to be taken into account as well from the beginning. Different NFC IC categories (NFC Frontends, NFC Controller, Connected Tag) have different strengths, depending on the software environment. The way how highly integrated operating systems like Linux are structured brings both new challenges and advantages. This session examines the considerations necessary when designing in NFC in different operating systems or "bare metal" systems. It also discusses the advantages and disadvantages of the different device categories in dependence of the designated environment.
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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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Getting started with MCUXpresso SDK, IDE, and Config tools.
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Join this session to understand the breakthrough security features integrated in the recently launched LPC5500 MCU Family. Along with Arm® TrustZone® technology the LPC5500 SRAM PUF based key management makes security easy to use and easy to deploy. This session will start off by introducing the scope of securing a smart connected device. It will explain the need for addressing device life cycle in a scalable way that is easy to use and easy to deploy. Then it will detail the protected key management achievable when using LPC5500 with MCUXpresso Software & Tools.
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Learn how to create an IoT proof-of-concept in real time without writing any C code. Skeptical? Rapid IoT combines processing, connectivity, sensing and security with an easy to use web IDE. The presentation and live demo walks you through creating a simple IoT solution including embedded, mobile and cloud applications. The demo lab will focus on use cases such as anomaly detection and vertical applications.
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SDK Examples - Labs 1-5
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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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