2023 the 7th International Conference on Innovation in Artificial Intelligence (ICIAI 2023) will be held in Harbin, China during March 3-5, 2023. ICIAI 2023 will bring together an international community of experts to discuss the state-of-the-art for new research results, perspectives of future developments, and innovative applications relevant to Artificial Intelligence, mechatronics, robotics, control, and automation.
Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI is an interdisciplinary science with multiple approaches, but advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.
Aims and Scope
2023 the 7th International Conference on Innovation in Artificial Intelligence (ICIAI 2023) has established itself as the world’s premier research conference in Artificial Intelligence. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. ICIAI draws researchers, application developers, and practitioners from a wide range of Artificial Intelligence related areas of the conference seeks to advance the state-of-the-art in Artificial Intelligence.
Topics of Interest
Topics of interest include, but are not limited to:
• Artificial Intelligence and Technology
• Natural Language Processing
• Computer Vision
• Bioinformatics
• Robotics and Related Fields
• Expert Systems
• Multi-agent Systems
• Speech Understanding
• Knowledge Engineering
• Distributed Intelligent Processing
• Concurrent and Parallel Processing
• Intelligent Database Systems
• Supervised and Unsupervised Learning
• Neural Network Theory and Architectures
• Hardware Implementations
• Fuzzy Logic
• Fuzzy Optimisation
• Fuzzy Control
• Fuzzy Computing with Words
• Theory of Evolutionary Algorithms
• Evolutionary Design
• Evolutionary Scheduling and Optimisation
• Rough Sets Theory: Foundations and Applications
• Data Mining
• Artificial Intelligence in Scheduling and Optimization
• Artificial Intelligence in Modelling and Simulation
• Various Applications
