- About to ICCNIT 2026-

The International Conference on Computer Science and Technology, Machine Learning, and Big Data 2026 (CSTMLBD 2026) will be held grandly in Shanghai, the highland of China's technological innovation and digital economy. This conference focuses on the deep integration and cutting-edge development of computer science and technology, machine learning algorithms, and big data processing. It is committed to building a high-level, interdisciplinary international academic exchange platform, gathering experts, scholars, researchers, engineers, and enterprise technology leaders in computer architecture, software engineering, artificial intelligence, data science, cloud computing, intelligent systems, and industry applications. The conference will focus on the theory and optimization of new machine learning models (such as deep neural network, self-monitoring learning, graph learning), large-scale data acquisition, cleaning and distributed storage technology, real-time stream data processing and intelligent analysis, big data driven predictive modeling and decision support, AI and big data application practices in finance, medical care, transportation, manufacturing and other fields, computing system architecture support for AI loads (such as AI chips, edge computing), data quality and governance, algorithm fairness and interpretability, privacy protection and security computing and other cutting-edge issues. Through various forms such as keynote speeches, thematic forums, paper presentations, and technological achievements exhibitions, we aim to promote the technological synergy and industrial empowerment of the "computing power algorithm data" trinity. CSTMLBD 2026 emphasizes the core concept of "technology foundation, intelligent driving, and data empowerment", and is committed to breaking through key core technologies to serve the national digital China, artificial intelligence development strategy, and new quality productivity development needs. The high-quality papers accepted by the conference will be recommended for publication in international journals indexed by IEEE, SCI, EI, or Scopus to enhance academic influence.