Aims:
The journal welcomes high-quality theoretical, methodological, and applied research in artificial intelligence and related disciplines.
Scopes:
Category 1: Foundations and Core Methods
* Probability and information theory
* Knowledge representation and reasoning
* Machine learning
* Supervised, unsupervised, semi-supervised, and self-supervised learning
* Deep learning
* Convolutional Neural Networks (CNN)
* Recurrent Neural Networks (RNN)
* Transformers and large language models
* Graph Neural Networks (GNN)
* Generative Adversarial Networks (GAN)
* Diffusion models
* Reinforcement learning
* Evolutionary computation
* Probabilistic graphical models
* Transfer learning
* Meta-learning
* Federated learning
* Continual learning
* Neuro-symbolic AI systems
Category 2: Perception, Language, and Multimodal Intelligence
1. Computer Vision
Visual Intelligence
* Visual Recognition and Scene Understanding
* Generative Vision and Visual Synthesis
* Vision–Language and Multimodal Intelligence
* AI-Enabled Image and Video Processing
* Video Analytics and Intelligence
* 3D Vision and Embodied Intelligence
2. Natural Language Processing
* Text classification
* Named entity recognition
* Machine translation
* Question answering
* Summarization
* Dialogue systems
* Information extraction
3. Speech and Audio Processing
* Automatic speech recognition
* Text-to-speech systems
* Speaker recognition
4. Multimodal Learning
* Vision-language models
* Caption generation
* Visual question answering
* Text-to-image and text-to-video generation
Category 3: Decision Making, Planning, and Robotics
Research related to intelligent reasoning, planning, autonomous systems, and robotics. Topics include:
* Automated planning
* Probabilistic planning
* Hierarchical planning
* Multi-agent systems
* Cooperative and competitive learning
* Game theory
* Negotiation systems
* Robotics and autonomous systems
* SLAM and localization
* Motion planning and control
* Robotic manipulation
* Human-robot interaction
* Drone systems
* Explainable AI (XAI)
* Human-in-the-loop learning
* AI safety and trustworthy AI
Category 4: Applications and Interdisciplinary AI
Research on practical deployment of AI across scientific, industrial, engineering, and social domains.
Topics include:
* AI for engineering
* AI for chemical engineering
* AI for scientific discovery
* AI for healthcare
* AI for manufacturing
* AI for smart cities
* AI for environmental science
* AI for social sciences
* AI for education
* AI for finance
* AI ethics and governance
* Industrial AI applications
The journal accepts the following manuscript categories:
* Original research articles
* Review articles
* Survey papers
* Short communications
* Technical reports
* Case studies
* Interdisciplinary application papers
