The 2027 International Conference on Data Science, Modeling and Simulation, and Artificial Intelligence (DSMSAI 2027) will bring together leading researchers, engineers and scientists in the domain of interest from around the world.
The topics of interest for submission include, but are not limited to:
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| Fundamentals of Data Science Big data architecture Data Mining and Knowledge Discovery Data Visualization and Analysis Data governance and ethics Data Engineering and Integration Multimodal Data Management Time series and spatial data analysis Data Engineering for Artificial Intelligence | Computational Modeling and Simulation High performance and parallel simulation Model validation and uncertainty quantification Hybrid modeling method Simulation in Engineering and Science Complex system modeling Physical information modeling Real-time simulation and digital twin Sim2Real and Transfer Learning |
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Basic model and big language model Agent AI and multi-agent systems World model and generative simulation Deep learning and neural networks Generative AI Explainable AI and trusted artificial intelligence Reinforcement learning Computer Vision and Pattern Recognition Natural language processing Edge AI and distributed intelligence | Digital twin driven by artificial intelligence Artificial intelligence for modeling and simulation ( AI for M & S ) Data Science and Artificial Intelligence for Scientific Discovery ( AI4S ) Data Synthesis and Data Enhancement Space intelligence and physical artificial intelligence Intelligent reality and meta-universe applications Composite AI system and AI orchestration Artificial intelligence governance security and ethics Industrial Artificial Intelligence and Intelligent Systems Edge intelligent analysis |