Full name: The 8th International Conference on Machine Learning and Machine Intelligence
Abbreviation: MLMI 2025


*The 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025)*
Kyoto, Japan | July 25-27, 2025


The 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025) will be held in Kyoto, Japan during July 25-27, 2025.

Organized by Ritsumeikan University, Japan, MLMI 2025 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 Kyoto.

Conference Theme: "AI-Driven Innovations for a Sustainable Future"



☑Publication
Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published into Lecture Notes in Electrical Engineering (Electronic ISSN: 1876-1119 & Print ISSN: 1876-1100) as a proceedings book volume. The book series will be indexed by EI Compendex, SCOPUS, INSPEC, SCImago and other database.

❉ MLMI 2024 conference proceedings (ISBN: 979-8-4007-1783-3) - ACM Digital Library | Ei Compendex | Scopus
❉ MLMI 2023 conference proceedings (ISBN: 979-8-4007-0945-6) - ACM Digital Library | Ei Compendex | Scopus
❉ MLMI 2022 conference proceedings (ISBN: 978-1-4503-9755-1) - ACM Digital Library | Ei Compendex | Scopus
❉ MLMI 2021 conference proceedings (ISBN: 978-1-4503-8424-7) - ACM Digital Library | Ei Compendex | Scopus
❉ MLMI 2020 conference proceedings (ISBN: 978-1-4503-8834-4) - ACM Digital Library | Ei Compendex | Scopus
❉ MLMI 2019 conference proceedings (ISBN: 978-1-4503-7248-0) - ACM Digital Library | Ei Compendex | Scopus
❉ MLMI 2018 conference proceedings (ISBN: 978-1-4503-6556-7) - ACM Digital Library | Ei Compendex | Scopus


☑Keynote Speakers
Prof. Zhihua Zhou (IEEE/ACM/AAAI/AAAS Fellow, member of the Academia Europaea)
Nanjing University, China

Prof. Ryuji Kohno (IEICE Life/IEEE Fellow)
Yokohama National University, Japan

Prof. Guoping Qiu
The University of Nottingham, UK & The University of Nottingham Ningbo, China


☑Invited Speakers
Prof. Antonio Alarcón-Paredes
National Polytechnic Institute, Mexico

Prof. Abril Uriarte Arcia
CIDETEC - IPN, Mexico

Asst. Prof. Isaac Kofi Nti
University of Cincinnati, USA

Assoc. Prof. Jiaxin Cai
Xiamen University of Technology, China

Dr. Vishnu S. Pendyala
San Jose State University, USA


☑Topics
Topics of interest for submission include, but are not limited to:
Track 1: Deep Learning and Neural Architectures
-Architectural Advances
-Efficient Training Techniques
Track 2: Reinforcement Learning and Sequential Decision Making
-Advanced Reinforcement Learning Algorithms
-Multi-Agent Reinforcement Learning
Track 3: Applied Machine Intelligence
-Machine Learning in Healthcare
-AI in Robotics
Track 4: Natural Language Processing and Multimodal Learning
-Large Language Models
-Multilingual and Low-Resource NLP
Track 5: Emerging Paradigms and Future Directions
-Quantum Machine Learning
-Federated and Distributed Learning
Track 6: Explainable, Ethical, and Human-Centered AI
-Explainable AI (XAI)
-Ethical AI and Fairness

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/mlmi2025
- Or Submit to mlmi_contact@163.com
For more details, please visit: http://www.mlmi.net/submission.html


☑Ritsumeikan University, Japan
The history of Ritsumeikan dates back to 1869 when Prince Kinmochi Saionji, an eminent international statesman of modern Japan, founded “Ritsumeikan” as a private academy on the site of the Kyoto Imperial Place. Ritsumeikan University offers a wide range of courses in advanced studies at its Kinugasa Campus in Kyoto, Biwako-Kusatsu Campus (BKC) in Shiga, and Osaka Ibaraki Campus in Osaka (OIC). Today, Ritsumeikan has become one of the most prestigious private universities in Japan, consistently earning one of the highest rankings among Japanese private universities in the renowned QS world university rankings. With its distinct strength in international orientation, it has been selected as part of the ongoing Top Global University Project by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) since 2014. Ritsumeikan University is also being highly appraised by society as the world-class educational institution which attracts many students both in Japan and overseas, consisting of 16 colleges and 22 graduate schools.


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