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

Website http://mlmi.net/ | Edit Freely

Category Machine Learning and Machine Intelligence

Deadline: June 10, 2026 | Date: July 17, 2026-July 20, 2026

Venue/Country: Tokyo, Japan

Updated: 2025-12-04 17:30:53 (GMT+9)

Call For Papers - CFP

Abbreviation: 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

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_contact163.com as attachment

For more details, please visit: http://www.mlmi.net/submission.html

Contact Us

Conference Secretary: Miss Joie Wu

Email: mlmi_contact163.com

Tel: +86-18302820449

WhatsApp: +853-66494438

Website: http://mlmi.net/

Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)