About this track
The Artificial Intelligence & Machine Learning track of the 9th International Conference on Next Generation Computing and Communication Technologies (ICNGCCT 2027) brings together researchers, academics and industry practitioners working on the methods, systems and applications that are shaping modern AI, from agentic AI and large language models to trustworthy, efficient and network-integrated AI.
We invite original, unpublished research papers, case studies and industry experience reports. Topics include, but are not limited to:
Topics of interest
- Advanced AI SystemsAgentic AI, Autonomous AI Agents, Generative AI, Large Language Models (LLMs)
- AI ApplicationsAI for Telecom, Automotive, Healthcare, Retail, Energy & Utilities, Finance, Education, Logistics, Manufacturing, Gaming, Smart Cities and other Industries
- Trustworthy AIExplainable AI (XAI), AI Ethics, Fairness, Accountability, and Transparency
- AI Engineering & OperationsMLOps/LLMOps, Retrieval-Augmented Generation (RAG), AI Agent Orchestration, AI Model Evaluation & Benchmarking
- Multimodal & Foundation ModelsVision-Language Models, Speech & Audio AI, Domain-Specific Foundation Models
- Efficient AIEdge AI, TinyML, Model Compression, Federated Learning
- AI IntegrationAI-Enabled Networks, AI-Native Architectures, AI for 5G/6G Optimization
- AI Safety & SecurityAdversarial Machine Learning, AI Red Teaming, LLM Security (Prompt Injection, Jailbreaks), AI Regulation (EU AI Act)
Submission and publication
Papers are submitted online through the conference submission system and undergo peer review by the Technical Program Committee. Please follow the author guidelines when preparing your manuscript.
All accepted and presented papers will be published in the peer-reviewed Conference Proceedings (publisher to be announced).
Submit your paper