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International Conference on Advances in Generative AI, Large Language Models and Blockchain Technology

Event artwork for International Conference on Advances in Generative AI, Large Language Models and Blockchain Technology
About this event

What to expect

Explore advances in generative AI, large language models and blockchain with global researchers and industry experts in Chiang Mai, 22–23 January 2027.

The International Conference on Advances in Generative AI, Large Language Models and Blockchain Technology (ICAGLLMBT 2027) creates a shared forum for examining how intelligent and decentralised technologies are developing, and where their convergence may lead next. Organised by the International Academy of Science, Technology, Engineering and Management, the two-day conference takes place in Chiang Mai, Thailand.

What the conference covers

The programme brings together research, practical applications and emerging opportunities across:

  • Generative AI and large language models (LLMs)
  • Autonomous AI agents
  • Blockchain technologies and decentralised ecosystems
  • Digital trust frameworks
  • Responsible AI development
  • Scalable architectures
  • The convergence of intelligent and decentralised systems

Attendees can expect invited lectures and research presentations designed to encourage discussion between academics and industry. The event is aimed at researchers, academicians, industry professionals, innovators, policymakers and students interested in current developments and future directions across AI, blockchain, science, technology and management. No single experience level is specified, but its academic format will be particularly relevant to people conducting research, presenting papers or following advanced technical and policy debates.

Papers, publication and recognition

Accepted abstracts will be published in a conference abstract book with an ISBN. Full and selected papers may also be considered for conference proceedings, edited books, book chapters and indexed international journals, including Scopus, Web of Science and Google Scholar-indexed publications, subject to peer review, editorial policies and individual publication requirements. The organiser notes that additional charges may apply to some journals, book chapters or special publication tracks.…

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