On-location / Digital Conference

International Conference on Computational Methods in Artificial Intelligence and Machine Learning (ICCMAIML-27)

02nd - 03rd Jan 2027,Madrid, Spain

In Association With:

Call for Paper


Important Dates


Early Bird Registration

03rd Dec 2026

Paper Submission Deadline

8th December 2026

Registration Deadline

18th December 2026

Conference Date

02nd - 03rd Jan 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Madrid ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Madrid conference.
  • Peer Review Process:
    The peer review process will begin soon for Madrid conference.
  • Networking with Global Experts:
    Join global experts at our conference in Madrid.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICCMAIML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Computational Methods in Artificial Intelligence and Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

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

  • Deep learning techniques in AI applications
  • Machine learning algorithms for big data
  • Natural language processing advancements
  • Reinforcement learning in robotics
  • AI ethics and societal implications
  • Computational intelligence in healthcare
  • Neural networks for image recognition
  • Predictive analytics in finance
  • AI-driven decision support systems
  • Data mining techniques for knowledge discovery
  • Multi-agent systems in AI
  • AI in smart cities and infrastructure
  • Computational models for cognitive processes
  • Machine learning for environmental monitoring
  • AI applications in education technology
  • Explainable AI and transparency
  • AI in cybersecurity and threat detection
  • Computational creativity and generative models
  • Human-computer interaction in AI
  • AI for sustainable development goals

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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