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Sichuan Province Computer Federation

It is sponsored by Sichuan Province Computer Federation and technically assisted by many local and international universities. This conference provides you opportunity to meet with academicians as well as practitioners in the fields of Artificial Intelligence and Big Data from all over the world, and get the latest insights from every area of Artificial Intelligence and Big Data theory and practice.

Tél.: [86-28-87777577];     Email.: emmaawang2019@sina.com

Artificial Intelligence: Intelligent information systems; Intelligent data mining and farming; Intelligent web-based business; Intelligent agents; Intelligent networks; Intelligent databases; Intelligent user interface; AI and evolutionary algorithms; Intelligent tutoring systems; Reasoning strategies; Distributed AI algorithms and techniques; Distributed AI systems and architectures; Neural networks and applications; Heuristic searching methods; Languages and programming techniques for AI; Constraint-based reasoning and constraint programming; Intelligent information fusion; Learning and adaptive sensor fusion; Search and meta-heuristics; Multisensor data fusion using neural and fuzzy techniques; Integration of AI with other technologies; Evaluation of AI tools; Social intelligence (markets and computational societies); Social impact of AI; Emerging technologies; Brain models, Brain mapping, Cognitive science; Natural language processing; Fuzzy logic and soft computing; Software tools for AI; Decision support systems; Automated problem solving.

Southwestern University of Finance and Economics

The 7th International Conference on Big Data Research (ICBDR 2026) will take place in Chengdu, China during June 12-14, 2026. It is co-organized by Southwestern University of Finance and Economics, China and Southwest University of Science and Technology, China; assisted by Donghua University, China. We are pleased to invite you to submit and to present your latest work in this important scientific event.

Tél.: [+86 131 0333 3373];     Email.: aimee@iacsit.net

Track 1: Big Data Models and Algorithms: Foundational Models for Big Data; Algorithms and Programming Techniques for Big Data Processing; Big Data Analytics and Metrics; Representation Formats for Multimedia Big Data; Advances in Neural Networks and Deep Learning for Large-Scale Data Analytics; Evolutionary Computation and Genetic Algorithms for Big Data Optimization; Fuzzy Systems for Uncertain and Complex Data Modeling; Decentralized and Self-Organizing Networks for Scalable Data Clustering; Self-Adaptive Architectures for Real-Time Big Data Stream Processing; Bio-Inspired Self-Organization in Edge Computing and IoT Data Fusion. Track 2: Big Data Architectures: Cloud Computing Techniques for Big Data; Big Data as a Service; Big Data Open Platforms; Big Data in Mobile and Pervasive Computing; Real-Time Big Data Processing and Stream Architectures; Scalable Storage Systems for Big Data; Edge and Fog Computing for Big Data; AI-Driven Big Data Architecture Design; Energy-Efficient Big Data Systems; Privacy-Preserving Big Data Architectures.