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.
翻译:随着深层学习的突破,近些年来,人工智能应用和服务的大规模激增。与此同时,移动电子计算和物联网的迅速发展也产生了数十亿个与互联网连接的移动和智能设备,在网络边缘生成了数据元字节。将这两个技术领域与互联设备电力化技术与情报相结合的机会,有可能为新的技术革命浪潮铺平道路。加入这一技术革命,在本篇文章中,我们提出了一个叫作深海智能(DEI)的新型计算机愿景。DEI使用深层学习、人工智能、云层和热电算、5G/6G网络、物联网、微服务等,目的是向任何地方拥有更丰富用户经验的每个人和组织提供可靠和安全的情报服务。同样详细介绍了DEI的愿景、系统架构、关键层次和特征。最后,我们揭示了与此相关的关键赋能技术和研究挑战。