Full name: 2026 The 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026)
Abbreviation: MLMI 2026


*The 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026)*
Tokyo, Japan | July 17-20, 2026


We are thrilled to announce that the 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026) will be held in Tokyo, Japan, from July 17 to 20, 2026. Organized by Rikkyo University, Japan, MLMI 2026 will bring together leading researchers, academics, and industry professionals to explore the latest advancements in machine learning and machine intelligence. The conference will feature insightful presentations, engaging discussions, and vibrant networking opportunities, all set in the culturally rich city of Tokyo.

MLMI 2026 aims to advance the field of machine learning and machine intelligence by fostering interdisciplinary collaboration and showcasing cutting-edge research. The scope of MLMI 2026 includes, but is not limited to, deep learning, reinforcement learning, natural language processing, computer vision, robotics, AI ethics, and the integration of machine intelligence in domains such as healthcare, finance, autonomous systems, and environmental sustainability. By providing a platform for knowledge exchange and collaboration, MLMI 2026 seeks to drive innovation and inspire the development of intelligent systems that benefit society.


☑Publication
Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the Conference Proceedings of MLMI 2026. (*All the previous Conference Proceedings have been indexed by Ei Compendex & Scopus.)


☑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, please visit: http://www.mlmi.net/cfp.html


☑Submission Guideline
♢ Submission Deadline: February 5, 2026
♢ 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: http://confsys.iconf.org/submission/mlmi2026
- Or Submit to mlmi_contact@163.com as attachment
For more details, please visit: http://www.mlmi.net/submission.html


☑Rikkyo University, Japan
Rikkyo University (Rikkyō daigaku), also known as Saint Paul's University, is a private university, in Ikebukuro, Tokyo, Japan.

Rikkyo is one of the five MARCH universities, the group of private universities in the Kanto region, together with Meiji, Aoyama Gakuin, Chuo, and Hosei. Rikkyo is known as one of the six leading universities in the field of sports in Tokyo ( "Big Six" — Rikkyo University, University of Tokyo, Keio University, Waseda University, Meiji University, and Hosei University).

The university is the largest Anglican Christian affiliated university in Japan. The university is involved in numerous international programmes and projects. Rikkyo maintains contact with more than 140 educational institutions abroad for the purpose of exchanging lecturers, students and projects. With more than 700 students from outside Japan, the institution has 20,000 students, and 2,700 teachers and staff members.


☑Contact Us
Conference Secretary: Miss Joie Wu
Email: mlmi_contact@163.com
Tel: +86-18302820449
WhatsApp: +853-66494438
Website: http://mlmi.net/
Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)