テクノロジーデイズ - トレーニング教材

ディスカッション

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.

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.

Emerging Connected and Automated Vehicles (CAVs) require far more compute horsepower, more memory bandwidth, and more high speed IO connectivity than the vehicles in show rooms today. Digital Networking processors are the highest performance processors in NXP, and they aren't just for networking! These devices are also used in safety critical applications like avionics, industrial automation and smart grid. Come learn more about where DN Layerscape processors fit in CAVs!

No other company has the breadth and diversity of embedded solutions for addressing the challenge of IoT Security. From secure element ICs to advanced multimedia and networking processors, NXP delivers the technology needed for securing the entire Lifecycle of the end or edge node. In addition, with Edgescale Cloud services software, devices can be maintained from deployment until decomissioning. Join this class for an overview of NXP's security solution.

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.

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.

This session will introduce the Sensor Toolbox, the complete ecosystem for product development with the NXP sensors. The key focal points would be introducing the IoT Sensing SDK (ISSDK) application development framework, Freedom Sensor Toolbox-Community Edition (STB-CE) and a wide range of the new sensor boards. The highlight of the training would be showcasing multiple STB-CE out of box sensor demonstrations and the steps to get started with IoT Sensing SDK (ISSDK) sensor application development.

Embedded edge technology is revolutionizing the area of machine vision for industrial applications. Vision systems at factory shop floor are now heavily relying on components capable to process images in real time at the edge in order to increase quality, efficiency and safety of production lines. Join this webinar to learn more how NXP and our partner Basler apply their latest technology in real industrial scenarios. Presenters: Felipe Fernandez, Business Development Specialist, Industrial System Innovation, NXP Malene Fricke, Product Partner Manager, Basler AG

This training will take a user from “out of box” to a functioning IoT system including edge devices, gateway/border router, smart phone app and cloud connectivity, then run the system through its paces to highlight a subset of common IoT capabilities. The training will leverage the NXP Modular IoT Framework using a currently shipping, fully documented, Integrated Development Experience for the exercises. Southbound connectivity between gateway and the edge devices will be Thread and ZigBee®. Device commissioning will be via NFC and BLE. Northbound connectivity from gateway to cloud will be Wi-Fi. Cloud support will be via a major cloud provider. Note: Users will be able to use their own Android or iPhone with a recent OS version.

テクノロジーデイズ - トレーニング教材

Technology Days - Training Material

Training Sessions Material

Home

Vehicle Networking

AI and Machine Learning

AI and Machine Learning; Edge Computing

AI and Machine Learning; Voice

Connectivity (UWB, 5G, Wi-Fi 6)

Embedded Applications Software; Human Machine Interface (HMI)

Embedded Software

Human Machine Interface (HMI)

Motor Control

Security

Enabling Technologies

Voice; Human Machine Interface (HMI)

Factory Automation

Wearable; Human Machine Interface (HMI)

Home Control & Security; Development Software & Tools

Automotive

Edge Intelligence

Industrial

IoT Smart Home

Hardware & Software Solutions

Automotive

Edge Intelligence

Industrial

Mobile, Wearable & Computing

IoT Smart Home

Hardware & Software Solutions

Automotive

IoT Smart City

Edge Intelligence

Industrial

Mobile, Wearable & Computing

IoT Smart Home

Hardware & Software Solutions

Station F

Singapore

Automotive

Edge Intelligence

IoT Smart Home

Mobile, Wearable & Computing

Industrial

Hardware & Software Solutions

Automotive

Communication Infrastructure

Edge Intelligence

Industrial

IoT Smart Home

Hardware & Software Solutions

Mobile, Wearable & Computing

Automotive

Edge Intelligence

Hardware & Software Solutions

Industrial

IoT Smart City

IoT Smart Home

Automotive

Automotive

Hardware and Software Solutions

Industrial

IoT Smart Home

Mobile, Wearable, and Computing

Automotive

Edge Intelligence

Hardware & Software Solutions

Industrial

IoT Smart City

IoT Smart Home

Mobile, Wearable & Computing

Automotive

Artificial Intelligence, Enabling Technologies, Security & Solutions

Smart Machinery & Industrial Automation

Smarter World Solutions & Multimode Connectivity

Artificial Intelligence, Enabling Technologies, Security & Solutions

Smart Machinery & Industrial Automation

Smarter World Solutions & Multimode Connectivity

Automotive

Artificial Intelligence, Enabling Technologies, Security & Solutions