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