The 3rd Annual International Conference on Artificial Intelligence and Applications (ICAIA2023) will be held in Shenzhen, Guangdong, China during December 29-31, 2023. It is one of the leading international conferences for presenting novel and fundamental advances in the fields of Artificial Intelligence and Applications. The idea of the conference is for the scientists, scholars, engineers and students from the Universities all around the world and the industry to present ongoing research activities, and hence to foster research relations between the Universities and the industry. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration.

The leading researchers, scholars and experts of the fields will be brought together to attend the international conference. We warmly welcome the prospective authors who are interested in the fields to submit their up-to-date and original research papers to the ICAIA2023 Organizing Committee so as to share their valuable experience with the leading researchers, scholars as well as experts of the fields around the world.



Topics of interest, but are not limited to:

Topic 1: Big Data and Cloud Computing
Big Data Techniques, models and algorithms
Big Data Infrastructure and platform
Big Data Search and Mining
Big Data Security, Privacy and Trust
Big Data Applications, Bioinformatics, Multimedia etc
Big Data Tools and systems
Cloud and grid computing for Big Data
Machine Learning and AI for Big Data
Big Data Analytics and Social Media
Social Clouds (Social Networks in the Cloud)
Cloud Business
Service-Oriented Architecture in Cloud Computing
Cloud Based, Parallel Processing
Virtualization on Platforms in the Cloud
Security Techniques for the Cloud
Data storage and Management in Cloud Computing
5G and Networks for Big Data

Topic 2: Machine Learning
Machine Learning Applications
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems
Deep Learning
Signal or Image Processing
Vision Recognition
Biomedical Engineering
Telecommunications
Pattern Recognition
Soft Computing
Fuzzy Systems
Neural Networks
Software & Hardware Architectures
Knowledge-based Systems
Mechatronics
Multimedia & Cognitive Informatics
Parallel Processing
Pervasive Computing and Ambient Intelligence
Programming Languages

Topic 3: AI for IoT
Blockchain and IoT
Electronics and Signal processing for IoT
Energy Efficiency and Sustainability in IoT
Human Interaction with IoT
Interoperability in IoT
IoT Applications and Industry 4.0
IoT Communication Technologies
IoT Edge and Cloud Architectures
IoT enabled Innovation and Entrepreneurship
Robotic IoT Systems
Security and Privacy for IoT
Self-adaptation for IoT Systems
Blockchain, Bigdata and IOT advances