星期六, 12 09月 2020 10:37

NXP Connects 2020 – 线上峰会 (亚洲 10月21-22日)

男作者
与全球行业领袖、高管和恩智浦专家共同学习与交流,我们诚邀您参加恩智浦专为全球创新应用工程师呈现的旗舰型线上峰会:免费注册
NXP CONNECTS KURT SPEAKER IMG
您可通过电脑或移动设备登录,参与为期两天的主题演讲和专题讨论。注册是免费的,与会者将通过在线的方式获取更多的专业知识和见解:
  • 了解如何利用恩智浦在汽车,边缘处理和安全连接领域的最新技术做出让您更满意,安全和可持续的应用
  • 与我们的CEO和全球各行业大咖共同参与主题演讲和主题讨论
  • 观看恩智浦及合作伙伴提供的独家的技术和方案演示
  • 与NXP的工程师和设计师开展在线互动和问答
  • 从50多个在线培训课程中选择并创建属于您的课程表

降低无线连接的复杂性

网络连接覆盖了消费者的生活。在这些层的下面隐藏着许多复杂的无线标准,从久经考验的蓝牙到新兴的Wi-Fi 6和5G,以及突破性的超宽带技术。来自领先的无线协会和公司的专家们分享了这些技术即将实现的可能性和案例。
 
创新越来越关注于使世界能够预测到我们的需求,并使我们的日常生活自动化。这个智能世界的结构由数十亿连接的智能边缘设备组成,这些设备需要安全、最低功耗处理能力、机器学习和功能安全。在过去几个月里,这一全球大流行病(新冠疫情)起到了催化剂的作用,加速了我们日常生活的转变,改变了我们的互动、移动、消费或支付商品和服务的方式。我们现在比以往任何时候都更依赖技术来帮助我们与朋友和家人保持联系,找到新的方式以数字方式畅游世界,帮助我们比以往任何时候都更有效地管理我们的生活。它还前所未有地加速了连接智能边缘应用程序的实现。
在NXP的旗舰虚拟开发者大会上,NXP总裁兼首席执行官Kurt Sievers发表了主题演讲。三星和大众的高管将分享突破性创新的例子,使世界变得更安全、更智能,比如三星Galaxy Note20 Ultra的超宽带(UWB)技术和大众ID电子系列。

更多的会议,更多的成功

创建您的自定义培训计划,并从支持驱动智能世界的解决方案的专家那里了解嵌入式技术的最新进展。日程安排9月22日开始;在此之前,请浏览以下会议或下载亚太地区的完整议程(请参阅附件):
 
Title Track Subtrack
NXP 5G Access Edge – Solutions for 5G NR Communication Infrastructure 5G Solutions
Right Partitioning for Autonomous Driving Applications Automotive ADAS/Highly Automated Driving
5G WLAN / Wi-Fi® 6 Front-End IC Communication Infrastructure 5G Solutions
Machine Learning at the Edge: Introduction to ML and NXP eIQ™ Machine Learning Software Edge Intelligence Edge Computing and Machine Learning
Implementing Latest IoT Security Use Cases with NXP’s EdgeLock™ SE050 Secure Element Hardware and Software Solutions Trust and Security
Meet NXP's Impressive i.MX 8M Portfolio of Products for Industrial and IoT Hardware and Software Solutions Software Development Tools
Motor Control Solutions Based on the Scalable and Secure S32K3 and S32K1 MCU Families Automotive Body and Comfort
i.MX RT1170 Crossover MCUs: Ushering in the GHz Era of MCUs Industrial Building Automation
Why Integrate Wi-Fi® 6 into Your Next Design Edge Intelligence Connectivity
Automotive MCU Security and OTA Solution with Cost-Optimized S32K1xx and S32K3xx Automotive MCUs Automotive Body and Comfort
Creating Seamless Digital Smart City Services With MIFARE 2GO Mobile Accessories
S32 Design Studio (S32DS) Tools Overview: S32DS for Automotive and Ultra-Reliable Power Architecture® (e200 cores) and Arm®-based Microcontrollers and Processors Automotive Other Automotive
Fast-Track Your Next Industrial or IoT Design with the Arm® Cortex®-M33-based LPC550 MCU Series Smart Home Smart Appliances
How to Develop Systems Following ISO26262 / IEC61508 Standards Based on the S32K3xx Automotive MCU for ASIL B/D Applications Automotive Body and Comfort
High-Performance, Tri-band Wi-Fi® 6E Access Point/Gateway Solutions Edge Intelligence Connectivity
Why Automotive OEMs Are Upgrading to Wi-Fi® 6 Automotive Driver Experience and Connectivity
The Growing Demand for Wi-Fi® in IoT Edge Intelligence Connectivity
i.MX 8M Plus Vision-Based Machine Learning Applications and Solutions Edge Intelligence Edge Computing and Machine Learning
Functional Safety Industrial and Automotive Concepts of the i.MX 8/8X Families of Applications Processors Automotive Driver Experience and Connectivity
Enable Your Automotive and Industrial Solutions: An Overview of the i.MX 8/8X Portfolio and Use Cases Industrial Building Automation
Battery Management Systems 101: Getting Started with NXP System Solutions Automotive Electrification xEV
Zonal Architecture for Future Cars Automotive Vehicle Networking and Services
Technology Advancements Enabling New Connected Vehicle Opportunities Automotive Safety and Security
Learn the Different System Design Considerations When Selecting a Low-Voltage PMIC Mobile Wearable and Fitness
Comprehensive Overview of the S32K3xx Automotive MCU Family and What Its Software Offers Automotive Body and Comfort
Addressing the Rise of Automotive Gateways and New Vehicle Architectures with the NXP S32G Vehicle Network Processor Automotive Driver Experience and Connectivity
Automotive CAN Networking Trends and Innovations Automotive Vehicle Networking and Services
New Approach to Automotive Ethernet Packet Processing Automotive Vehicle Networking and Services
Automotive NFC for Car Access and More Automotive Driver Experience and Connectivity
MCU-Based Solutions for Voice Control and Face Recognition Smart Home Smart Appliances
Understanding UWB Technology: What It is and How It Works Mobile Portable
Understanding UWB Technology: What It is and How It Works Smart Home Portable
The Latest Trends in e-Cockpit for Radio, Audio, HMI and Displays Automotive Driver Experience and Connectivity
Advantages of NXP's Arm® Cortex®-M-Based MCU Portfolio for Your Next-Generation Application Smart Home Smart Appliances
The Future of Battery Management and Motor Control Systems for the xEV Market Automotive Electrification xEV
xEV Motor Control System Solutions Automotive Electrification xEV
Automotive Electrification Introduction Automotive Electrification xEV
From the Cloud to the Car—Use Cases Automotive Vehicle Networking and Services
Scalable and Safe Power Management Solutions for Autonomous, Electric and User-Defined Cars Automotive Safety and Security
Functional Safety in Power Management ICs and Related System Considerations Automotive Other Automotive
NXP’s Approach to Automotive Security Automotive Safety and Security
NXP Full Radar Product Overview—TRX Portfolio and S32R Radar Family Automotive ADAS/Highly Automated Driving
Essential Security Considerations for Edge Applications Edge Intelligence Edge Computing and Machine Learning
Help Make Your Healthcare Device Smarter Industrial Healthcare/Medical
Low-Power Wireless Audio Streaming Solution Smart Home Toys and Games
UWB Use Case Enablement Mobile Portable
Edge Computing Architecture Trends Edge Intelligence Edge Computing and Machine Learning
Hands-On Workshop: Building Advanced Audio Applications Using i.MX RT600 and i.MX RT500 Crossover MCUs Mobile Voice and Music
Hands-On Workshop: Easily Design Your Graphical UI with NXP MCUs and SEGGER EmWin and App Wizard Hardware and Software Solutions Application Software
Hands-On Workshop: Deploying Machine Learning using i.MX RT Crossover MCUs Edge Intelligence Edge Computing and Machine Learning
 
 
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