AMI 2026

International Conference on Autonomous Machine Intelligence

Autonomous, Predictive, and Self-Supervised Intelligence Systems

October 29–31, 2026 • Can Tho City, Vietnam

1st Edition · Inaugural Conference

About AMI 2026

The International Conference on Autonomous Machine Intelligence (AMI 2026) is an international forum dedicated to the study of autonomous, self-supervised, and predictive learning systems. The conference aims to bring together researchers and practitioners to advance the foundations and applications of next-generation intelligent systems capable of learning and acting with minimal human supervision.

AMI 2026 focuses on emerging paradigms such as world models, energy-based models, and joint embedding predictive architectures (JEPA), which emphasize autonomy, representation learning, and long-term prediction. By fostering interdisciplinary exchange, the conference seeks to bridge theoretical advances with practical deployments in real-world environments.

Conference Highlights

  • Keynote talks by invited researchers in autonomous and self-supervised AI
  • Rigorous peer-reviewed technical paper sessions
  • PhD Forum and poster sessions for emerging research
  • Industry track highlighting real-world autonomous systems
  • Awards for best paper and best student paper

Topics of Interest

AMI 2026 invites original research contributions on the foundations, models, and applications of autonomous machine intelligence. The following list highlights representative topics of interest.

Foundations of Autonomous Intelligence

  • Self-supervised learning and predictive representation learning
  • World models and joint embedding predictive architectures (JEPA)
  • Energy-based models and latent variable approaches
  • Learning under limited or no human supervision

Models, Architectures, and Systems

  • Autonomous perception–prediction–action loops
  • Multimodal and temporal representation learning
  • Hierarchical and memory-augmented models
  • Learning from video, sensor streams, and embodied interaction

Embodied and Applied Autonomous Systems

  • Autonomous robotics and embodied AI
  • Autonomous agents and decision-making systems
  • Human–AI interaction in autonomous settings
  • Real-world deployment and evaluation of autonomous systems

Important Dates

Please note the following important deadlines for AMI 2026. All deadlines are firm and submissions must be received on time.

Paper Submission DeadlineJune 1, 2026
Acceptance NotificationAugust 15, 2026
Camera-Ready Papers DueOctober 15, 2026
Conference DatesOctober 29–31, 2026

Time remaining:

Submission deadline: June 1, 2026 at 23:59 (Anywhere on Earth)

Submission Guidelines

Submission System

All papers must be submitted electronically via the official Microsoft CMT submission system:
https://cmt3.research.microsoft.com/AMI2026

Paper Format

Submissions must be written in English and prepared using the Springer LNCS/CCIS one-column conference proceedings format. Papers must be original and not under review elsewhere.

Paper Length

The proceedings will primarily consist of full papers (typically 12 to 15 pages in the Springer CCIS format). A limited number of short or poster papers (minimum 6 to 11 pages) may also be included. All page limits include references and appendices.

Review Process

All submissions will undergo a rigorous and competitive double-blind peer review process. Papers will be evaluated based on originality, technical quality, relevance, significance, and clarity.

Publication

Accepted papers will be published in the AMI 2026 conference proceedings by Springer in the Communications in Computer and Information Science (CCIS) series, subject to satisfactory peer review and compliance with Springer’s publication policies.

Presentation Requirement

At least one author of each accepted paper must register for the conference and present the paper in person at AMI 2026.

Important Notes

  • • All deadlines will be announced in the Call for Papers.
  • • Papers must comply with anonymity requirements.
  • • Submissions not following formatting rules may be rejected without review.

Organized By

Can Tho University

Academic & Institutional Partners

Can Tho UniversityNantes UniversitéVNU-HCM University of TechnologyVNU International School

Publisher

CCIS - Springer

Contact Information

For inquiries regarding submissions, program, or organization, please contact:

Prof. Hiep Xuan Huynh, Ph.D. (HDR)

General Chair, AMI 2026

Can Tho University, Vietnam

hxhiep@ctu.edu.vn

Conference Website:

https://ami.ctu.edu.vn/2026