Hybrid Conferencee

International Conference on Computational Methods in Artificial Intelligence and Machine Learning (ICCMAIML - 26)

29th - 30th August 2026 | Cannes, France

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Cannes. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Cannes event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Cannes conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Cannes, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Cannes."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICCMAIML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Computational Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Deep learning techniques in AI applications
02
Machine learning algorithms for big data
03
Natural language processing advancements
04
Reinforcement learning in robotics
05
AI ethics and societal implications
06
Computational intelligence in healthcare
07
Neural networks for image recognition
08
Predictive analytics in finance
09
AI-driven decision support systems
10
Data mining techniques for knowledge discovery
11
Multi-agent systems in AI
12
AI in smart cities and infrastructure
13
Computational models for cognitive processes
14
Machine learning for environmental monitoring
15
AI applications in education technology
16
Explainable AI and transparency
17
AI in cybersecurity and threat detection
18
Computational creativity and generative models
19
Human-computer interaction in AI
20
AI for sustainable development goals