Integrating Applied Artificial Intelligence in IoT Systems: Challenges and Opportunities
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 254
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Special Issue Information
Dear Colleagues,
The AIoT (Artificial Intelligence of Things) combines the IoT (Internet of Things) and artificial intelligence. It is a convergence technology in which artificial intelligence analyzes data collected through the Internet of Things. The AIoT combines the technological elements of the IoT and AI in a complementary form. The IoT is implemented with sensing technology to collect environmental or motion information and wired and wireless network technology to transmit the collected data. AI analyzes big data collected in the IoT environment and transmitted to the cloud or server through machine learning or artificial intelligence. AI applied to the IoT has also evolved from a simple M2M (machine-to-machine communication device) method to cloud computing, fog, and edge computing. AI intelligence created through deep learning and intelligent sensing devices enables IoT devices to make decisions directly. In addition, the AIoT is closely related to security threats related to artificial intelligence and big data combined with the IoT. Typical security threats include forgery of learning data, induction of malfunctions, and hacking of artificial intelligence system security vulnerabilities that can occur when analyzing data collected through the IoT with artificial intelligence.
This Special Issue aims to use this opportunity to gather and review the latest research results in one place to increase understanding of how the AIoT can be applied and utilized in various fields.
Prof. Dr. Hieyong Jeong
Dr. Choonsung Shin
Dr. Inseop Na
Guest Editors
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Keywords
- AIoT
- IoT
- AI
- machine learning
- deep learning
- robotics
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