2026 International Conference on Machine Learning and Computational Intelligence(MLCI 2026)

Welcome to MLCI 2026 As the world rapidly moves towards the widespread implementation of automated machines, particularly smart robots, advances in technologies such as sensing, planning, perception, control, machine intelligence, and cloud computing are enabling the next generation of robots to excel at handling various tasks across industry and society. Consequently, it is essential to stay abreast of the rapid growth of theories and technologies that drive robotics and automation engineering forward. In light of this, 2026 International Conference on Machine Learning and Computational Intelligence (MLCI 2026) will be held in Ho Chi Minh City, Vietnam from April 18 to 20, 2026. ★ Publication Accepted papers will be published by MLCI 2026 Conference Proceedings, indexed by Ei compendex and Scopus. ★Call for papers★ Track 1: Foundations of Machine Learning Supervised learning algorithms Unsupervised learning techniques Reinforcement learning frameworks and applications Model selection, validation, and evaluation metrics Probabilistic models and Bayesian methods Optimization algorithms for machine learning Track 2: Computational Intelligence Methods Evolutionary computation Fuzzy logic and fuzzy systems Artificial neural networks Swarm intelligence algorithms Hybrid intelligent systems combining multiple computational intelligence techniques Applications of computational intelligence in complex system modeling and optimization Track 3: Advanced Machine Learning Systems Deep learning architectures Transfer learning and domain adaptation Few-shot learning and meta-learning Model deployment and scalability Efficient training techniques Applications in computer vision, natural language processing, and speech recognition Track 4: Interdisciplinary Applications of ML and CI Ethical considerations in AI and machine learning Fairness, accountability, and transparency in algorithms Explainable AI (XAI) and interpretability of machine learning models Legal frameworks and regulations for AI Future trends in machine learning and computational intelligence Societal impact and sustainable development of AI technologies ★Submission★ 1. Each paper should have no less than 4 pages normally, including all figures, tables, and references, extra page fee needs to be paid after 5 pages. 2. The submitted paper is requested to be written in complete English. Full Paper Template: https://www.icmlci.com/Docx+Latex.zip Abstract Template: https://www.icmlci.com/Abstract-Template.doc *Electronic Submission System Link https://www.zmeeting.org/submission/MLCI2026 ★★Contact us Ms. Elisha Chen (Conference Secretary) Email: [email protected]