9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026)

Topics Topics of interest for submission include, but are not limited to: Track 1: Deep Learning and Neural Architectures Neural Architecture Search Generative Models Transfer Learning Track 2: Reinforcement Learning and Sequential Decision Making Multi-Agent Reinforcement Learning Time Series and Sequential Data Real-Time AI Systems Track 3: Applied Machine Intelligence Machine Learning in Healthcare AI in Robotics Biometric and Behavioral Analytics Track 4: Natural Language Processing and Multimodal Learning Large Language Models Multilingual and Low-Resource NLP Cross-Modal Retrieval and Generation Track 5: Emerging Paradigms and Future Directions Quantum Machine Learning Federated and Distributed Learning AutoML and Meta-Learning Track 6: Explainable, Ethical, and Human-Centered AI Explainable AI (XAI) Ethical AI and Fairness Privacy-Preserving Machine Learning For more topics, Submission Guideline English is the official language. Paper should be prepared in English. Abstract submission is for presentation only without publication. Full paper submission is for both presentation and publication. (No less than 10 pages) Submission Methods: - By online submission system