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

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.

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.

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. To protect firmware execution given today’s threat landscape, there must be a policy to only allow execution of authenticated firmware. The methods used to enforce this policy rely on MCU security technology to create a protected boot flow. The boot firmware can contain public key cryptography to authenticate application code. In addition to these components integrated in the end device, there are tools and steps that must be taken in the manufacturing environment using manufacturing hardware for code signing and host programs for provisioning. Join this session to explore the design and implementation of a secure boot with i.MX RT.

Whether you are looking for an easy and cost-efficient parametrization solution or want to use a smartphone for ad-hoc diagnosis of a device - Near-field-communication (NFC) makes this possible now. Or you might want to communicate with a fully sealed, batteryless device? Learn in this session about many new use cases, in which NFC simplifies handling, saves cost or enables features which were not possible before in industrial or healthcare applications. With iPhones now also enabled for NFC reading there are more possibilities than you would have imagined!

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.

A key challenge to the deployment of Edge compute IoT is management and security of 1000s to millions of Edge compute nodes and the software that is running on them. NXP’s EdgeScale technology simplifies this by providing a cloud-based management framework leveraging the hardware security features of NXP Layerscape and i.MX processors. This instructor-led session will demonstrate how to install AWS Greengrass and Azure IoT Edge software on NXP processors using the NXP EdgeScale cloud deployment service, integrate hardware based security and deploy a simple application that collects data, processes it locally and sends updates to the cloud. This session will provide greater understanding of edge computing and cloud computing concepts and technologies.

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