Full name: 2027 The 10th International Conference on Machine Learning and Machine Intelligence (MLMI 2027)
Abbreviation: MLMI 2027
Tokyo, Japan | July 16-19, 2027


The 10th International Conference on Machine Learning and Machine Intelligence (MLMI 2027) will be held in Tokyo, Japan, from July 16 to 19, 2027. Organized by Rikkyo University, Japan,

MLMI 2027 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.


☑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 2027.

(*All the previous Conference Proceedings have been archived in ACM Digital Library and have been indexed by Ei Compendex & Scopus.)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
• Architectural Advances
• Efficient Training Techniques
• Graph Neural Networks
• Generative Models
• Neural Architecture Search
• Transfer Learning

Track 2: Reinforcement Learning and Sequential Decision Making
• Advanced Reinforcement Learning Algorithms
• Multi-Agent Reinforcement Learning
• Time Series and Sequential Data
• Predictive Modeling
• Anomaly Detection
• Sequential Decision Making
• Real-Time Al Systems

Track 3: Applied Machine Intelligence
• Machine Learning in Healthcare
• Al in Robotics
• Al for Cybersecurity
• Biometric and Behavioral Analytics
• Industry-Specific Applications

Track 4: Natural Language Processing and Multimodal Learning
• Large Language Models
• Multilingual and Low-Resource NLP
• Multimodal Machine Learning
• Cross-Modal Retrieval and Generation

Track 5: Emerging Paradigms and Future Directions
• Quantum Machine Learning
• Federated and Distributed Learning
• AutoML and Meta-Learning
• Sustainable and Green Al
• Hybrid Models

Track 6: Explainable, Ethical, and Human-Centered Al
• Explainable Al (XAI)
• Ethical Al and Fairness
• Privacy-Preserving Machine Learning
• Human-Centered Al
• Augmented Intelligence

For more topics, please visit: https://www.mlmi.net/cfp.html


☑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: https://confsys.iconf.org/submission/mlmi2027
- Or Submit to mlmi_contact@163.com as attachment
For more details, please visit: https://www.mlmi.net/submission.html


☑Rikkyo University (立教大学, 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 (東京六大学 "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.


☑Lucky Draw
To express our appreciation for all participants, MLMI 2027 will host a Lucky Draw during the conference. All registered attendees who complete on-site check-in will have the opportunity to participate.

Join us for an exciting surprise session and enjoy the chance to win exclusive gifts while celebrating a successful academic gathering. We look forward to sharing this memorable moment with you!


☑Contact Us
Conference Secretary: Miss Tessa Chen
Email: mlmi_contact@163.com
Tel: +86-13103333373
Website: https://www.mlmi.net/
Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)