AI and Data-Driven Advancements in Industry 4.0

Dear Colleagues,

Our society is filled with various modalities of data: pictures, words, voices, videos, remote-sensing images, and more. Data-driven artificial intelligence brings the promise of deriving meaning from all of that data to us and has opened extraordinary theoretic and application-based opportunities. In recent years, abundant theories and algorithms are proposed, trusted, and utilized to finance, security, healthcare, education, sustainability, neuroscience, sports, et al. Motivated by these discoveries, substantial AI-based techniques are applied in various domains, such as medical image analysis, virtual reality, human-computer interaction, remote-sensing representations, et al.

This topic aims to gather and showcase the most recent advances in the areas of next-generation artificial intelligence and Industry 4.0 applications. Our interest is in the whole spectrum of big data and artificial intelligence research in diversified domains, including sophisticated framework design, training strategy, optimization, trusted and robust, and the corresponding applications. Topic contents include (but are not limited to):

• computer vision, natural language processing, reinforcement learning
• multi-modal learning, object recognition, detection, segmentation, and tracking
• graph neural network, knowledge graph, recommendation system
• pattern recognition and intelligent system
• blockchain theory or application
• artificial intelligence security, data security and privacy
• trusted data sharing, digital intellectual property protection
• bioinformatics, medical image analysis and processing
• remote sensing image interpretation
• virtual reality, robotics, medical artificial intelligence

Dr. Teng Huang
Prof. Dr. Qiong Wang
Dr. Yan Pang
Topic Editors