Flex Conference (Physical / Digital)

International Conference on Machine Learning and Artificial Intelligence - (ICMLAI-26)

26th - 27th October 2026 , Kobenhavn - Denmark

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Call For Papers

The (ICMLAI-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Artificial Intelligence are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Machine Learning Algorithms and Techniques
  • Artificial Intelligence in Real-World Applications
  • Deep Learning Innovations and Challenges
  • Natural Language Processing Advances
  • Computer Vision Technologies and Applications
  • Reinforcement Learning in Robotics
  • Data Mining Techniques for Predictive Analytics
  • Ethics in Artificial Intelligence Research
  • AI in Healthcare: Opportunities and Challenges
  • Big Data Analytics with Machine Learning
  • AI-Driven Automation in Industries
  • Machine Learning for Cybersecurity Applications
  • Explainable AI and Interpretability Issues
  • AI in Finance and Investment Strategies
  • Social Impacts of Artificial Intelligence
  • AI for Environmental Sustainability
  • Collaborative AI Systems and Human Interaction
  • Future Trends in Machine Learning Research
  • Case Studies in AI Applications
  • Emerging Tools for Machine Learning Development

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.