The Artificial Intelligence and Machine Learning Conference is a premier international forum for researchers, clinicians, industry partners, and policymakers to share advances, debate evidence, and strengthen collaboration. Our program is designed to bridge discovery with practice—through keynotes, symposia, oral and poster sessions, and networking opportunities.
We welcome work that spans basic science, applied methods, technology-enabled solutions, and population impact. Sessions emphasize rigor, reproducibility, and responsible innovation, with space for early-career voices and global perspectives.
Join us in Tokyo, Japan during MARCH 23-25, 2026 to connect with peers, showcase your research, and help shape the next chapter in this field.
Artificial Intelligence and Machine Learning sits at the center of major scientific and societal priorities—from improving outcomes and access to care, to addressing complex systems challenges that require coordinated expertise. Rapid innovation, new datasets, and evolving standards mean professionals must continually update skills and share knowledge across borders.
This conference highlights translational pathways: how insights move from lab and pilot settings into guidelines, products, and services that benefit people. We also spotlight ethics, equity, and sustainability so progress is inclusive and trustworthy.
Participating helps you align with current evidence, identify collaboration partners, and return to your institution with actionable ideas.
Attendees gain concentrated exposure to the latest research and practice trends in Artificial Intelligence and Machine Learning, without filtering through noise alone online. You will hear from invited experts, compare methods with specialists, and discuss challenges with peers who understand your context.
The event is structured to support both depth (focused tracks) and breadth (cross-cutting themes). Whether you present a talk or poster, or join as a delegate, you will expand your network and sharpen questions for your next project.
Highlights:
Latest research across the full spectrum of the field Networking with international faculty, trainees, and industry Practical insights you can apply in research, clinic, or engineering settings Visibility for your work through oral/poster opportunities (where selected) A collegial environment that encourages constructive feedback and partnerships
