The topics of interest for submission include, but are not limited to:
Track 1: Digital Economy Digital transformation and enterprise management The application of blockchain in digital economy Intelligent Computing and Supply Chain Management Artificial intelligence ethics and digital economy Big data analysis and prediction Cloud computing and edge computing technology Internet of Things and Intelligent Perception Deep learning algorithm and its application Application of Reinforcement Learning in Economic Forecasting Digital Finance and Fintech Innovation Network security and information privacy protection The application of artificial intelligence in medical health Blockchain Technology and Regional Economy |
Track2: Intelligent Computing Intelligent data analysis Intelligence and artificial intelligence control Sensor networks and networked control Intelligent Automation Process Automation Fuzzy and Neural Systems Intelligent systems Sensors Intelligent data analysis AI Algorithms Artificial Intelligence tools & Applications Natural Language Processing Computer Vision and Speech Understanding Data mining and machine learning tools |
Track 3: Open source innovation and financial intelligence Artificial intelligence drives financial service innovation The Application of Big Data in Risk Management Research on Inclusive Finance in Digital Economy The digital transformation of supply chain finance Credit scoring model based on artificial intelligence |
Track4: Embodied intelligence and space computing Intelligent interaction design of IoT devices Context Awareness and Response in Human-Computer Interaction Design of bionic robot and realization of embodied intelligence Spatial perception in smart wearable devices Emotional computing analysis of embodied intelligence Virtual interactive technology in telemedicine Cooperative robot system based on space computing Spatial data management in mobile computing Intelligent navigation and perception in UAVs 3D design and simulation based on spatial computing |
Track 5: Credible AI and model governance Exploration of transparency and interpretability of AI model Model Risk Management in Automated Machine Learning Security verification of embedded AI system Application of data privacy protection technology in AI Bias detection and reduction technology of AI model Research on traceability and traceability of intelligent system The combination of audit ability and AI model transparency Continuous learning and autonomous security of AI systems Efficient trust management and artificial intelligence strategy Adaptive risk control and AI model configuration |