IEEE AIoT 2024 aims at bringing together interested parties (universities, research centers, industries and stakeholders) from around the world working in the fields of AI and Internet of Things to exchange opinions, discuss brand-new ideas, developing innovative and emerging solutions, and establishing new collaborations.

Scope and Objectives

Artificial Intelligence (AI) and the Internet of Things (IoT) are two of the most rapidly evolving and interdependent fields of technology. The convergence of these two fields is leading to the creation of an emerging interdiscipline field, dubbed the Artificial Intelligence of Things (AIoT). The AIoT represents the integration of AI technologies into IoT systems and devices, enabling them to interact with their environment in more sophisticated and intelligent ways. By combining IoT with AI, the data collected by distributed nodes can be utilized by applying AI techniques such as machine learning and deep learning. As a result, machine learning capabilities are moved closer to the data source.

The IEEE AIoT Conference aims to explore the integration of artificial intelligence (AI) technologies into the Internet of Things (IoT) systems and devices, enabling them to interact with their environment in more sophisticated and intelligent ways. The conference will focus on the following areas:

    AIoT Architectures, Frameworks, and Algorithms: Developing novel AIoT architectures, frameworks, and algorithms for deploying state-of-the-art machine learning and deep learning algorithms on IoT and edge devices, realising the so-called Edge AI or Edge Intelligence;
    AIoT Applications: Identifying and exploring new AIoT applications, including healthcare, smart homes, industrial automation, transportation, and digital agriculture;
    Standards and Interoperability: Developing standards and protocols for AIoT systems and ensuring interoperability between different platforms and devices; and
    Ethics and Security: Addressing ethical and security concerns related to AIoT, such as privacy, transparency, and accountability.

Authors are cordially invited to submit their original papers within the eHealth area. The topics include but are not limited to:

    Edge Computing and Intelligence in AI and IoT
    Machine Learning for IoT Applications
    Mobile deployment of Large Language Models (LLMs)
    LLMs for AIoT applications
    Smart Cities: AI and IoT Solutions
    Security and Privacy in AI-driven IoT Systems
    5G and its Impact on AI and IoT
    Blockchain Technology for Securing IoT Devices
    Human-Machine Interaction in IoT Environments
    IoT Sensors and Actuators: Innovations and Advances
    AI-driven Predictive Maintenance in IoT
    Energy-Efficient AI Algorithms for IoT Devices
    IoT in Healthcare: Applications and Challenges
    Industrial IoT (IIoT) and AI for Manufacturing
    Smart Agriculture: AI and IoT in Precision Farming
    Ethical Considerations in AI-powered IoT Systems
    IoT Standards and Interoperability
    Robotic Process Automation (RPA) in IoT
    AI-driven Automation in Supply Chain Management
    IoT Analytics and Big Data Processing
    AI in Edge Devices: Challenges and Solutions
    Wireless Sensor Networks in AI and IoT
    IoT for Environmental Monitoring and Sustainability
    AI and IoT in Transportation and Logistics
    Cross-domain Integration of AI and IoT Technologies