About ICADS 2027 At the forefront of the global STI mega-trend, China has been creating an increasingly open STI environment, increasing the depth and breadth of academic collaboration, and building a community of innovation that benefits all. These efforts make a new contribution to globalization and the creation of a common community for the future. The ICADS conference aims to gather professors, researchers, scholars and industrial pioneers all over the world. ICADS is the premier forum for the presentation and exchange of past experiences and new advances and research results in the field of theoretical and industrial experience. The conference welcomes contributions which promote the exchange of ideas and rational discourse between educators and researchers all over the world. The organizing committee of conference is pleased to invite prospective authors to submit their original manuscripts to ICADS 2027. Track 1: AI Algorithms and Applications Deep Learning Methods and Optimization Reinforcement Learning and Policy Optimization Explainable Artificial Intelligence Meta-Learning and Transfer Learning Self-Supervised and Unsupervised Learning Graph Neural Networks and Knowledge Representation Track 2: Intelligent Digital Services and Recommendation Systems Intelligent Recommendation Systems Personalized Digital Services Chatbots and Conversational AI Service Automation and Optimization User Behavior Analysis and Prediction Cross-Platform Digital Service Integration Digital health services Digital Assistant Track 3: Digital Service Platforms and Big Data Analytics Service Computing and Composition Cloud and Edge Computing Services Big Data Analytics and Processing Data Mining and Pattern Discovery Knowledge Graph Construction and Application Data-Driven Decision Systems Track 4: Human-Computer Interaction and Intelligent Experience Intelligent Education and Personalized Learning Intelligent Healthcare Services Smart City Services and Applications User Experience Optimization and Evaluation Intelligent Assistants and Digital Agents Usability Analysis and Interface Optimization