SNRI

(ICAI-MLSD - 27) | Hybrid Event
11th - 12th May 2027 | Seoul, South Korea

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+91 9344546233 | [email protected]

International Conference on Artificial Intelligence, Machine Learning, and Scientific Discovery
(ICAI-MLSD - 27)

11th - 12th May 2027 Seoul, South Korea (Hybrid Event)

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Call for Paper

The ICAI-MLSD is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Computational Science, Data Science, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • AI techniques for scientific discovery
  • Machine learning in healthcare applications
  • Data-driven approaches in scientific research
  • Ethical considerations in AI applications
  • AI for environmental sustainability solutions
  • Robotics and AI in scientific exploration
  • AI-driven innovations in engineering
  • Applications of AI in social sciences
  • Machine learning for climate modeling
  • AI in materials discovery and design
  • Big data analytics in scientific research
  • AI for enhancing scientific collaboration
  • Challenges in AI-driven scientific methods
  • Interdisciplinary applications of AI
  • AI for optimizing research processes
  • Machine learning in drug discovery
  • AI applications in physics and chemistry
  • Future directions in AI and science
  • AI for data visualization in research
  • Collaborative AI in scientific communities
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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