论文标题
深度智能：建筑，关键特征，启用技术和挑战
Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and Challenges
论文作者
论文摘要
随着深度学习的突破，近年来见证了人工智能应用和服务的巨大激增。同时，移动计算和物联网的快速进步也引起了连接到Internet的数十亿个移动和智能传感设备，从而在网络边缘生成了Zettabytes。将这两个技术领域结合起来，用智能将这两个领域的互连设备供电的机会很可能为新的技术革命浪潮铺平了道路。在本文中，我们提出了一种名为Deep Edge Intelligence（DEI）的新型计算愿景。 Dei采用深度学习，人工智能，云和边缘计算，5G/6G网络，物联网，微服务等。旨在在任何地方提供具有更好用户体验的任何地方，为每个人和组织提供可靠且安全的情报服务。还详细介绍了DEI的视觉，系统架构，关键层和特征。最后，我们揭示了与之相关的关键促成技术和研究挑战。
With the breakthroughs in Deep Learning, recent years have witnessed a massive surge in Artificial Intelligence applications and services. Meanwhile, the rapid advances in Mobile Computing and Internet of Things has also given rise to billions of mobile and smart sensing devices connected to the Internet, generating zettabytes of data at the network edge. The opportunity to combine these two domains of technologies to power interconnected devices with intelligence is likely to pave the way for a new wave of technology revolutions. Embracing this technology revolution, in this article, we present a novel computing vision named Deep Edge Intelligence (DEI). DEI employs Deep Learning, Artificial Intelligence, Cloud and Edge Computing, 5G/6G networks, Internet of Things, Microservices, etc. aiming to provision reliable and secure intelligence services to every person and organisation at any place with better user experience. The vision, system architecture, key layers and features of DEI are also detailed. Finally, we reveal the key enabling technologies and research challenges associated with it.
