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

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.

With the announcement of Project CHIP, the Smart Home industry is addressing critical interoperability challenges facing the market today by improving compatibility, raising security, simplifying set-up and increasing compliance. In this session, we'll take a closer look at Project CHIP and illustrate how NXP’s portfolio is uniquely positioned to support Project CHIP-based designs. Highlights include a look at NXP's architecture and recent implementation of a Project CHIP-based E-Lock design along with a video demonstration. Presenters: Sujata Neidig, Wireless Connectivity Marketing Director, NXP Doru Gucea, Wireless Connectivity Software Engineer, NXP

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.

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.

Join this session to get a glimpse of where you will see i.MX 8/8X in the near future and why graphics, ML, AI, video, image processing, vision, connectivity, audio and voice functions make the i.MX 8 series ideal for Automotive and Industrial applications. Learn about the i.MX 8/8X families that are comprised of common subsystems establishing an unmatched range of performance scaling with pin-compatible options and the highest level of software reuse. In addition, learn more about the upcoming i.MX 8DualMax product line to help customers meet additional cost performance scaling across the i.MX 8 family.

Two key automotive transformation areas are connected and electric vehicles (EV) which will bring opportunities for new vehicle services and efficiencies that improve user experience and increase the efficiency of EVs to extend range. NXP has brought together our technologies and expertise in both of these areas, in collaboration with Amazon Web Services (AWS), to provide a vehicle-to-cloud solution to monitor and improve EVs. In this session, we will provide insights into the implementation of the Connected EV Management System based on the NXP GoldBox based on the S32G vehicle network processor for service-oriented gateways and the GreenBox based on the S32S for propulsion domain control, along with the key software and cloud technologies from AWS, and how they all work together to provide value propositions for connected EVs. Presenters: Brian Carlson, Director, Global Product and Solutions Marketing, Vehicle Control and Networking Solutions, NXP Curt Hillier, Systems and Applications Engineer, NXP

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