SNRI

(ICMMAI - 27) | Hybrid Event
21st - 22nd June 2027 | Marseille, France

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International Conference on Mathematical Modeling in Artificial Intelligence
(ICMMAI - 27)

21st - 22nd June 2027 Marseille, France (Hybrid Event)

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Call for Paper

The ICMMAI 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 Mathematical Modeling, 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:

  • Mathematical modeling in artificial intelligence
  • Applications of neural networks in modeling
  • Machine learning algorithms for modeling
  • Mathematical models of intelligent systems
  • Optimization techniques in AI modeling
  • Data-driven approaches in AI applications
  • Mathematical modeling of cognitive processes
  • Applications of AI in healthcare modeling
  • Mathematical models of robotic systems
  • AI-enhanced decision-making models
  • Mathematical modeling of natural language processing
  • Applications of AI in climate modeling
  • Mathematical models of machine learning systems
  • AI in predictive analytics and modeling
  • Mathematical modeling of computer vision systems
  • Applications of AI in financial modeling
  • Mathematical models of social media dynamics
  • AI-driven optimization in logistics modeling
  • Mathematical modeling of autonomous systems
  • Ethical considerations in AI modeling
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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