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2nd International Conference on Artificial Intelligence and Machine Learning (AI 2026)

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About this event

What to expect

The 2nd International Conference on Artificial Intelligence and Machine Learning takes place July 6-7, 2026, in Singapore, bringing together leading experts, researchers, industry professionals, and AI enthusiasts for two days of cutting-edge insights and collaboration. Organized by Noveltics Group LLC, this premier event addresses the theme "Shaping Tomorrow with AI & ML: Innovation, Ethics, and Impact."

What to Expect

Artificial Intelligence 2026 offers a comprehensive programme featuring keynote speeches from renowned thought leaders, technical sessions showcasing groundbreaking research, and interactive workshops designed to enhance practical skills. Participants will engage in meaningful discussions, network with peers from diverse disciplines, and explore innovative solutions driving the future of AI and machine learning.

Scientific Sessions

The conference covers an extensive range of topics across 20 specialized tracks:

  • Deep Learning & Neural Networks — exploring advanced architectures and training techniques
  • Natural Language Processing — examining language models and conversational AI
  • Computer Vision — discussing image recognition and visual understanding systems
  • Ethics, Fairness, and AI Policy — addressing responsible AI development and governance
  • Reinforcement Learning — covering decision-making algorithms and autonomous systems
  • Edge AI and IoT Applications — showcasing distributed intelligence and connected devices
  • AI in Healthcare — demonstrating diagnostic tools and personalized medicine
  • Data Science and Big Data — exploring analytics and large-scale data processing
  • Quantum Computing and AI — investigating next-generation computational approaches
  • Human-Computer Interaction and AI — examining user experience and interface design
  • AI for Cybersecurity — addressing threat detection and system protection
  • AI for Education — discussing adaptive learning and educational technology
  • AI for Sustainability — exploring environmental applications and green AI
  • Robotics — covering autonomous systems and physical AI embodiments
  • Explainable AI — examining transparency and interpretability in AI systems
  • AI in Finance and Economics — showcasing algorithmic trading and financial modelling
  • AI in Agriculture and Environment — demonstrating p

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