Conference Information

MLMI 2026: International Conference on Machine Learning and Machine Intelligence

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Submission Date:
2026-06-10 Extended
Notification Date:
2026-06-25
Conference Date:
2026-07-17
Location:
Tokyo, Japan
Years:
9
Viewed: 20622   Tracked: 7   Attend: 1

Call For Papers

MLMI 2026 (International Conference on Machine Learning and Machine Intelligence) is an academic conference held in Tokyo, Japan on 2026-07-17. The paper submission deadline is 2026-06-10 (extended). Acceptance notifications are sent on 2026-06-25.

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. MLMI 2026 offers a unique opportunity to engage with the latest research, connect with global experts, and contribute to the future of machine intelligence. We invite you to join us for four days of learning and networking. You are guaranteed to leave the event with a suitcase full of knowledge and inspiration. Conference Theme: "AI-Driven Innovations for a Sustainable Future"
Last updated by Dunn Carl in

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