study of the progress, challenges, and opportunities in artificial intelligence of things (AIoT)
Anil Kumar Yadava, Vijay Chouhan, Nilesh Uke, Surender Kumar, Joydeep Banerjee, Atheer Omar S Benjeed · International Journal of Health Sciences · 2022
Internet of Things (IoT) sensors and gadgets collect and interpret environmental data, transfer them to cloud centers, and receive feedback via the Internet for connectivity and perception in the IoT age. Transmitting enormous amounts of heterogeneous data, interpreting the resulting complicated surroundings, and then making timely, informed decisions are all difficult tasks. Several applications of artificial intelligence (AI), particularly deep learning, have recently been demonstrated to be a success. The introduction of AI into the Internet of Things (IoT) heralds a new era of artificial intelligence (AI) (AIoT). To demonstrate how artificial intelligence (AI) can empower the Internet of Things (IoT) to make it more efficient, smarter, greener, and safer, this article gives a complete assessment on AIoT. An AIoT architecture is briefly described in terms of cloud, fog and edge technologies. There is progress in AI research for IoT advancements from four perspectives: 1) perceiving, 2) learning, 3) reasoning, and 4) being. Our world will be drastically changed by the use AIoT applications in the following section. Finally, we discuss AIoT's difficulties and future research avenues.