Submitted papers should be original and not published elsewhere or intended to be published during the review period. The contributions should address research questions that relate to one of the topics listed above. Papers not following these guidelines may be rejected without review. Also, submissions received after the due date, exceeding the length limit, or not appropriately structured may also not be considered To ensure high quality, all submissions are blind peer-reviewed by at least three reviewers All accepted papers must be presented by one of the authors who must register for the conference and pay the fees All accepted and presented papers will be submitted to IEEE Xplore for inclusion. The topics addressed by the conference include, but are not limited to:
Topics
The aim of the IEEE AMCAI is to attract high-quality papers on a variety of topics. For more details, please check
IEEE AMCAI 2027
.
Topics of interest include, but are not limited to:
Track 1:Artificial Intelligence Foundations and Methods
- Artificial Intelligence: Foundations, Methods and Architectures
- AI Programming and Intelligent Software Systems
- Computational Intelligence
- Cognitive Computing
- Machine Learning and Deep Learning
- Neural Networks and Representation Learning
- Reinforcement Learning
- Generative Artificial Intelligence and Foundation Models
- Large Language Models and Multimodal AI
- Fuzzy Logic and Soft Computing
- Evolutionary and Swarm Intelligence
- Hybrid and Neuro-Symbolic AI
- Explainable and Interpretable AI
- Trustworthy, Responsible and Ethical AI
- AI Safety, Fairness and Bias Mitigation
Track 2: Intelligent Systems and Agents
- Multi-Agent Systems
- Intelligent Agents and Autonomous Agents
- Autonomous and Intelligent Systems
- Knowledge Representation and Reasoning
- Planning, Scheduling and Decision Making
- Recommender Systems and Personalized AI
- Ontologies, Knowledge Graphs and Semantic Web
- Human-Centered and Human-Aware AI
- Human–Robot Interaction
- Cognitive Robotics and Social Robotics
- Robotics, Automation and Intelligent Control
Track 3: AI for Data, Language and Perception
- Natural Language Processing and Understanding
- Speech and Conversational AI
- Computer Vision and Pattern Recognition
- Image, Video and 3D Understanding
- Multimodal AI
- Sentiment Analysis, Opinion Mining and Affective Computing
- Data Mining and Knowledge Discovery
- Big Data Analytics and Intelligent Data Processing
- Time-Series Analysis and Forecasting
Track 4: AI, Optimization and Decision Intelligence
- AI for Combinatorial and Mathematical Optimization
- Single- and Multiobjective Optimization
- Metaheuristics and Evolutionary Optimization
- Quantum Computing and Quantum Machine Learning
- AI-Driven Optimization and Decision Support
- Learning-Enhanced Optimization
- Digital Twins and Intelligent Simulation
Track 5: AI Infrastructure and Emerging Technologies
- Edge and Fog Computing for AI
- Cloud Computing and AI-as-a-Service
- Distributed and Federated AI
- Internet of Things (IoT) and Internet of Everything (IoE)
- Intelligent Networks and AI for Communications
- Blockchain and Distributed Ledger Technologies for AI
- AI Security, Privacy and Trust
- Neuromorphic Computing and Brain-Inspired AI
- AI Hardware and Accelerated Computing
- Augmented, Virtual and Extended Reality (AR/VR/XR)
- Metaverse and Intelligent Virtual Environments
Track 6: AI for Industry and Cyber-Physical Systems
- Edge and Fog Computing for AI
- Cloud Computing and AI-as-a-Service
- Distributed and Federated AI
- Internet of Things (IoT) and Internet of Everything (IoE)
- Intelligent Networks and AI for Communications
- Blockchain and Distributed Ledger Technologies for AI
- AI Security, Privacy and Trust
- Neuromorphic Computing and Brain-Inspired AI
- AI Hardware and Accelerated Computing
- Augmented, Virtual and Extended Reality (AR/VR/XR)
- Metaverse and Intelligent Virtual Environments
Track 7: AI Applications
- AI in Healthcare and Medicine
- AI in Business, Management and Finance
- AI in Logistics, Supply Chains and Transportation
- Intelligent Transportation Systems and Smart Mobility
- AI in Agriculture and Food Systems
- AI in Education and Learning
- AI in Cybersecurity
- AI in Environmental Sustainability and Climate Action
- AI for Smart Cities and Urban Planning
- AI for Social Good and Community Development
- AI in Energy and Renewable Energy Systems
- AI in Public Services and E-Government
- AI in Science and Engineering
- AI in Creative Industries and Digital Media