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Connects - Training Material

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Smart Amp software enhancement integrated with smart amplifier to provide optimal end-to-end solution such as voice experience, audio capture and speech assist for mobile and IoT applications.
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Extend your logistics track and trace with condition insights. NTAG SmartSensor enables sensing and logging with NFC readout. NTAG SmartSensor enables your IoT application for smart logistics, smart healthcare, drug delivery and smart packaging.
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Near Field Magnetic Induction (NFMI) technology, demonstrating a family of ultra-low-power, single-chip solutions enabling wireless audio streaming that are highest quality ear-to-ear communications for hearables and data communication.
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Learn how to go from an IoT idea to a proof-of-concept as easy as 1-2-3 for a connected, secure, small-form factor IoT end node. The Rapid IoT kit integrates 30+ active components (11 NXP parts) with drivers, middleware, example applications and features an innovative web IDE with GUI-based programming, as well as mobile App and IoT cloud services.
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This session will introduce NXP differentiated GaN technology for cellular band high power applications, including full cellular portfolio RF Power products.
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This session will introduce NXP mutual and best class LDMOS technology for cellular band high power applications, including full cellular portfolio RF Power products.
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This session will introduce the NXP mature and widely accepted solutions of RF products serve the DAS and small cell applications from 0.5W, 10W to 20W and 40W.
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Concept of SD-CPE, virtualization of functions/applications on CPE, centralized management of CPE by orchestrator, advantages, and applications scenario in home, enterprise and industry.
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Concept of SD-WAN, how to use SDWAN to allocate and manage network bandwidth on-demand and use cases.
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This session will cover NXP's complete voice and audio solutions for IoT market. This includes solutions for voice calling, AI voice recognition and music playback. NXP brings complete and optimized audio framework on NXP's MCU and MPU products, which provides ready and easy to use voice and audio functions to IoT developers.  In the applications such as AI speakers, home electrical equipment and voice control nodes.
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Motor control is moving to smart, reliability, high energy efficiency and high integration, digital control is the inevitable choice to meet the requirements. As old brand motor control MCU supplier, NXP provides the complete motor control MCU product portfolio and related reference solutions, covering from low end S08, dedicated 32-bit DSC, 32-bit Cortex M0+/M4/M7 based KE/KV to high performance 32-bit Cortex-M7 crossover i.MX RT. This session will introduce the market trend of motor control applications, basic motor control applications' requirements and NXP's offerings to meet these requirements. Finally, one dual stepper servo motors control demo is shown to better understand what NXP can provide to make motor control development easy.
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OpenIL is Linux® distro designed specifically for the industrial market. OpenIL is an ideal deployment for PLC, HMI, industrial control and automation systems. As an open source project based on buildroot to provide a compact filesystem for industrial usage, OpenIL supports LTS Linux kernel 4.1 and 4.9, Xenomai cobalt core, industrial IEEE®1588, time sensitive networking and many other features. A real-time baremetal framework supports relay control and robotic applications. Learn about OpenIL, the architecture, design objectives and roadmap. Understand how you can contribute to OpenIL and drive the direction of the community project.
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Time-Sensitive Networking (TSN) makes deterministic Ethernet possible. TSN provides evolution for industrial real-time networks and is a set of IEEE® 802 Ethernet sub-standards defined by the IEEE TSN task group. In this session, learn about the key TSN standards and how they work together. Understand more about NXP solutions for both TSN endpoint and TSN switch with abundant software support based on Arm®v8 platforms.
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This session introduces the MCUXpresso suite of tools (IDE, SDK, Config Tools) and shows users how to rapidly start development with thousands of Kinetis and LPC MCUs. Using either Kinetis, LPC or i.MX RT development hardware, attendees will watch how to build a custom SDK, configure pins and clocks settings, generate a project, import and debug an application, as well as the advanced debugging capabilities of the MCUXpresso IDE, including trace, profiling, coverage, watch points and more.
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Secure designs begin with a security model consisting of policies, an understanding of the threat landscape and the methods used to enforce physical and logical security. This session introduces the basic concepts of security, the security threats faced by users, the security features of i.MX/MCU products, and how to use the security features to achieve secure boot, code protection, data protection, secure communication and so on.
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Every Linux distribution provides features useful in product development - each SoC provides features necessary to a product's success. If you can't take advantage of the distribution of your choice or the SoC of your choice - product development is hampered or stopped altogether. NXP provides technology easing the adoption of SoC specific components into the distribution of your choice. Learn more about this technology, and practical tips and tricks on how to build and use selected components from LSDK at the component isolated level. Topics include building and deploying PPA and boot loaders, building and booting the Linux kernel, and building and deploying select user space components. Emphasis is on native building because it's easier. This will be a two hour session to leave time for Q&A.
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A key challenge to the deployment of Edge compute IoT is management and security of 1000s to millions of Edge compute nodes. EdgeScale simplifies this by providing a cloud-based management framework leveraging the hardware security features of Layerscape processors. Learn how you can use EdgeScale to manage a heterogenious set of Edge compute nodes, and use it with your choice of Edge compute framework - AWS Greengrass, Azure IoT Edge and others.
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The raison d'etre of edge computing is processing IoT sensor data, and machine learning techniques are increasingly being used for this analysis. Although general-purpose CPU cores can handle ML, specialized accelerators deliver 10x the performance in the same power envelope. Learn how Layerscape compute and acceleration is addressing the needs today - and see what the future holds.
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Edge computing puts cloud-computing software infrastructure on embedded-class processing platforms to reduce latency and uplink bandwidth consumption. Ranging from 1-core to 16-core devices, integrating important I/O features and integrating a hardware root of trust, the Layerscape family is ideal for edge-computing platforms. Complementary software like EdgeScale increases these platforms ease of use and accelerates customers' time to market. This session provides an overview of running Edge compute applications on Layerscape family of processors. It covers the concept of Edge computing and why it is needed, and goes on to elaborate the various use-cases where it can be used. It explains how customers can use the Layerscape SDK to run container based Edge compute applications, and leverage popular Edge Compute frameworks from AWS, Azure, Alibaba amongst others.
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This session will give a introduction to the S32 radar processor covering trends and key features
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