计算机科学
云计算
物联网
终端(电信)
GSM演进的增强数据速率
数据科学
大数据
边缘计算
传感器融合
万维网
人工智能
电信
数据挖掘
操作系统
作者
Dapeng Wang,Shaoen Wu,Danda B. Rawat,Changqing Luo
出处
期刊:IEEE Internet of Things Journal
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:11 (1): 1-4
标识
DOI:10.1109/jiot.2023.3331985
摘要
Artificial Intelligence of Things (AIoT) represents a collaborative fusion of artificial intelligence (AI) and the Internet of Things (IoT). AIoT systems enable real-time data acquisition through IoT sensors and conduct intelligent data analysis tasks across the entire spectrum from terminal to edge to cloud, creating a dynamic and empowering ecosystem. However, the evolving landscape of AIoT faces a perplexing challenge: how to effectively sense the geographically diverse and highly variable environment, accurately gather massive and diverse IoT data with varying value density, and intelligently integrate multisource data to deliver real-time, intelligent, and high-quality applications.
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