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Technology Days - Training Material

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Automotive Advanced Analog Solutions  Emerging Trends & Innovation NXP Microcontroller Update Smart Machinery & Industrial Automation Hands-On Workshop: Secure Connection to Google Cloud IoT Core  Smart Networks & Computing Layerscape - Edge Computing  Smarter World Solutions & Multimode Connectivity Are You Ready for the Next i.MX Product Launch?  Hands-On Workshop: i.MX RT Cross-Over Processors  NXP Secure, Interface and Power Solutions  See What's Next on NFC Technology
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Achieving the lowest MCU power during sleep presents challenges to HW and SW designers from switching off clocks and power to modules. Low-power use cases and concepts for NXP's Mode Entry module are presented along with implications to hardware design, software design and debugging.
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Solutions Around the Core – Interfaces and Power Solutions
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Presentation of the high-performance packet processing solutions being developed on i.MX processors and expected performance gains compared to a standard software stack.
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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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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 session will introduce the NXP BLE product family including the latest QN9080/83 ultra low-power BLE WMCU and KW35/36 automotive and industrial BLE WMCU, detailing targeted use cases, the device features, highlighting BLE and stacks as well as supporting enablement.
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This session will highlight the features and design advantages of the QN9080 BLE SoC portfolio for small form factor products with rich feature sets that can operate for multiple years on small coin cell batteries.
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Want to know more about USB Type-C or Secure Authentication? Don't miss this session.
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Advanced Graphics Application on i.MX-RT Crossover MCU: Hardware Implementation and TouchGFX Support  Discover New i.MX RT - Security Features_Paris  i.MX-RT: The Disruptive Crossover MCU 
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Introduction to the standard - with emphasis on how to apply it, cross BL.
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In this session you will learn how the A71CH Security IC can be used to establish a secure connection between an IoT device and Google Cloud IoT Core. This connection is established using an MQTT Bridge running across Transport Layer Security protocol (TLS). The same procedure could be applied to connect to AWS services, OEM Cloud, etc. maintaining the credentials secured.
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NXP has prepared a DroneCode.org compatible Vehicle management unit (VMU) running PX4Pro. The NXPhlite VMU is compatible with the full stack from Dronecode, including internal and external comms, planning and groundstation control. This can be used as the basis to coordinate with a higher level companion system running  LINUX and ROS, or as a standalone vehicle such as a semi-autonomous Drone, Rover, boat or even a lawnmower. NXPhlite features multiple interfaces and includes 100BaseT1 2-wire Ethernet and dual CAN interfaces.
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Automotive and Industrial Battery Management Systems solutions from low to high voltage applications covering key components such as safety battery cell controller, power management, and MCUs.
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This class will teach you how to spin a BLDC, PMSM or ACIM motor with i.MX RT. You do not need prior motor control experience.
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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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Overview of LPC541xx for wearable.
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S32K11x, S32K14x product and solution, migration to future S32K products.
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