2026 the 9th International Conference on Machine Learning and Machine Intelligence

Date
July 17 to 20, 2026
Deadlines
Submission Deadlinee: Jun 15, 2026
Location
Tokyo, Japan
Ikebukuro Campus, Rikkyo University, Japan: 3-34-1 Nishi-Ikebukuro, Toshima-ku, Tokyo 171-8501, Japan
Scope
Machine Learning, Machine Intelligence
Category
Artificial intelligence / Machine Learning

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.

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.

All papers will be strictly double blind reviewed by the program committee, and accepted papers after proper registration and presentation will be published in the International Conference Proceedings Series by ACM (ISBN: 979-8-4007-2468-8), which will be archived in the ACM Digital Library, and indexed by Ei Compendex, Scopus, etc.

Contacts

email Manae Kusu: aimee@iacsit.net
URL MLMI 2026: https://mlmi.net/

Organizer

Rikkyo University, Japan

Posted by Aimee
2026-03-25 06:40
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