Today, the Internet of Things (IoT) is increasingly flourishing with establishing ubiquitous connections between smart devices and objects, and by 2020, there will be a total of 30 billion connected things reported by IDC. The unprecedented data explosion provides immense opportunities for valuable information mining. At the same time, it also floods the infrastructure with tremendous values it necessarily handles and proposes high challenges to traditional data storing or processing techniques. On the other hand, artificial intelligence (AI) has become a key component for many applications that profoundly change our lives. Machine learning, especially deep learning (DL) technologies, vastly improves traditional computer science and networking technologies. The convergence of AI and IoT enables data to be quickly explored and turned into significant decisions. For companies and enterprises, AI enhances the speed and accuracy of data processing for instant market strategies.

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关于人工智能与物联网融合的鲁棒性和效率的特刊


如今，物联网 (IoT) 日益蓬勃发展，智能设备和物体之间建立了无处不在的连接，据 IDC 报告，到 2020 年，互联事物总数将达到 300 亿个。前所未有的数据爆炸为有价值的信息挖掘提供了巨大的机会。与此同时，它还给基础设施带来了其必须处理的巨大价值，并对传统的数据存储或处理技术提出了严峻的挑战。另一方面，人工智能（AI）已成为许多深刻改变我们生活的应用的关键组成部分。机器学习，特别是深度学习（DL）技术，极大地改进了传统的计算机科学和网络技术。人工智能和物联网的融合使数据能够被快速探索并转化为重大决策。对于公司和企业来说，人工智能提高了数据处理的速度和准确性，以实现即时市场策略。