AICON 2026 (EAI International Conference on Artificial Intelligence for Communications and Networks) is an academic conference held in Phu Quoc Island, An Giang, Vietnam on 2026-11-20. The paper submission deadline is 2026-09-15. Acceptance notifications are sent on 2026-10-06.
Scope
The 6th EAI International Conference on Artificial Intelligence for Communications and Networks (AICON 2026) brings together researchers, engineers, and practitioners to explore cutting-edge advancements in Artificial Intelligence and its transformative applications in communications, networks, and beyond. As AI continues to reshape industries and society, this conference provides a premier platform for interdisciplinary discussions on theoretical foundations, emerging technologies, and real-world applications of AI.
AICON 2026 focuses on the convergence of AI with communication systems, network infrastructures, and autonomous machine intelligence. The conference addresses critical challenges including AI-driven optimization for next-generation networks (5G/6G), intelligent autonomous systems, multimodal AI, large language models, and AI agents. We also explore AI applications across diverse domains such as healthcare, education, agriculture, aquaculture, environment, smart cities, and e-commerce
Special emphasis is placed on emerging paradigms including federated learning, edge AI, quantum machine learning, and neuromorphic computing. The conference also addresses crucial aspects of AI ethics, safety, security, and societal impact, ensuring responsible AI development and deployment.
We welcome researchers and practitioners from technical fields, social sciences, and economics to participate in our interdisciplinary discussions. Papers describing theoretical advances, novel algorithms, advanced prototypes, systems, tools, and applications are encouraged.
Topics
Track 1: AI Core Technologies
– Machine Learning / Deep Learning
– Reinforcement Learning
– Large Language Models (LLMs)
– Generative AI
– Foundation Models
– AI Agents / Agentic AI
– Multimodal AI
– Evolutionary Computing
– Knowledge Representation
– Explainable AI (XAI)
– Federated Learning
– AI Safety & Alignment
Track 2: AI Hardware & Infrastructure
– Edge AI / TinyML
– AI Hardware & Accelerators (GPU, TPU, NPU)
– Neuromorphic Computing
– Quantum AI / Quantum Machine Learning
Track 3: Autonomous Machine Intelligence
– Autonomous Vehicles / Self-driving Systems
– Autonomous Robots & Robotics
– Multi-agent Systems
– Swarm Intelligence
– Intelligent Agents
– Autonomous Drones / UAVs
– Edge AI for Autonomous Systems
– Human-Robot Interaction
– Perception & Reactive AI Systems
Track 4: AI for Communications
– AI in Wireless Communications
– AI in Signal Processing
– AI in Satellite Communications
– AI in Mobile Communications (5G/6G)
– AI in UAV-assisted Communications
– AI in Optical Communications
Track 5: AI for Networks
– AI for Network Optimization
– AI for Network Security & Cybersecurity
– AI in Software-Defined Networking (SDN)
– AI in Internet of Things (IoT) Networks
– AI in Ad-hoc & Delay-tolerant Networks
– AI in Cloud/Edge Computing Networks
Track 6: AI in Multimedia
– AI in Image Processing & Computer Vision
– AI in Video Analytics
– AI in Speech & Audio Processing
– AI in Natural Language Processing (NLP)
– AI in Content Generation & Creative AI
– AI in Virtual/Augmented Reality (VR/AR)
– AI in Gaming & Entertainment
Track 7: AI Applications in Domain-Specific Areas
– AI in Healthcare & Medical Systems
– AI in Agriculture & Smart Farming
– AI in Aquaculture & Fisheries
– AI in Environment & Climate
– AI in Energy & Smart Grid
– AI in Transportation & Logistics
– AI in Smart Cities
– AI in Manufacturing & Industry 4.0
– AI in Education & E-learning
– AI for Science (AI4Science)
– Digital Twins with AI
Track 8: AI in Economics, Finance & E-commerce
– AI in Economic Modeling & Forecasting
– AI in Financial Systems & FinTech
– AI in E-commerce & Recommendation Systems
– AI in Business Intelligence
– AI in Supply Chain Management
– AI in Marketing & Customer Analytics
– AI and Productivity in Organizations
Track 9: AI Ethics, Security & Society
– Privacy and Security in AI
– Adversarial AI & Deep Fakes
– Ethical AI & Biases
– AI Governance & Regulation
– Copyright Issues in Generative AI
– Societal Impact of AI
– Human Factors in AI
– Future of Work in AI Era
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