论文标题
用智力增强事物的能力：对事物人工智能的进度，挑战和机遇的调查
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
论文作者
论文摘要
在物联网（IoT）时代，数十亿个传感器和设备从环境中收集和处理数据，将它们传输到云中心，并通过Internet接收反馈，以获得连接性和感知。但是，很难传输大量的异质数据，从这些数据中感知复杂的环境，然后及时做出明智的决策。人工智能（AI），尤其是深度学习，现在在包括计算机视觉，语音识别和自然语言处理在内的各个领域取得了成功的成功。 AI引入了物联网预示着事物的人工智能时代（Aiot）。本文对Aiot进行了全面的调查，以表明AI如何使物联网使其更快，更智能，更绿和更安全。具体而言，我们在云计算，雾计算和边缘计算的上下文中简要介绍了Aiot体系结构。然后，我们从四个角度的IoT研究中提出了进展：感知，学习，推理和行为。接下来，我们总结了Aiot的一些有希望的应用，这些应用可能会深刻地重塑我们的世界。最后，我们强调了Aiot面临的挑战和一些潜在的研究机会。
In the Internet of Things (IoT) era, billions of sensors and devices collect and process data from the environment, transmit them to cloud centers, and receive feedback via the internet for connectivity and perception. However, transmitting massive amounts of heterogeneous data, perceiving complex environments from these data, and then making smart decisions in a timely manner are difficult. Artificial intelligence (AI), especially deep learning, is now a proven success in various areas including computer vision, speech recognition, and natural language processing. AI introduced into the IoT heralds the era of artificial intelligence of things (AIoT). This paper presents a comprehensive survey on AIoT to show how AI can empower the IoT to make it faster, smarter, greener, and safer. Specifically, we briefly present the AIoT architecture in the context of cloud computing, fog computing, and edge computing. Then, we present progress in AI research for IoT from four perspectives: perceiving, learning, reasoning, and behaving. Next, we summarize some promising applications of AIoT that are likely to profoundly reshape our world. Finally, we highlight the challenges facing AIoT and some potential research opportunities.
