On-location / Digital Conference

International Conference on Artificial Intelligence, Machine Learning and Soft Computing (ICAIMLSC-26)

29th - 30th Dec 2026,Ilheus, Brazil

In Association With:

Call for Paper


Important Dates


Early Bird Registration

29th Nov 2026

Paper Submission Deadline

4th December 2026

Registration Deadline

14th December 2026

Conference Date

29th - 30th Dec 2026

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Ilheus ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Ilheus conference.
  • Peer Review Process:
    The peer review process will begin soon for Ilheus conference.
  • Networking with Global Experts:
    Join global experts at our conference in Ilheus.
  • 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 ICAIMLSC 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 Artificial Intelligence, Machine Learning and Soft Computing, encouraging applied research, case studies, and industry-driven innovations.

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

  • Advancements in Machine Learning Algorithms
  • Soft Computing Techniques in AI
  • AI for Image and Signal Processing
  • Natural Language Processing Innovations
  • AI in Predictive Modeling and Analytics
  • Deep Learning Applications in Industry
  • AI for Time Series Forecasting
  • Reinforcement Learning in Real-World Scenarios
  • AI in Robotics and Automation
  • Ethics in Machine Learning Practices
  • AI for Healthcare Diagnostics and Treatment
  • AI in Financial Services and Trading
  • AI-Driven Personalization Techniques
  • Challenges in AI Model Interpretability
  • AI for Cybersecurity Threat Detection
  • AI in Smart Manufacturing Processes
  • AI for Climate Change Mitigation
  • AI in Education and Learning Technologies
  • AI for Social Good Initiatives
  • Future Directions in AI Research

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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