About the Journal

Artificial Intelligence Science and Application (AISA) aims to publish high-quality, peer-reviewed research that advances the theory, development, implementation, and practical applications of artificial intelligence across multidisciplinary domains.

The journal provides an international platform for researchers, scientists, engineers, practitioners, and policymakers to share innovative AI methodologies, intelligent systems, data-driven technologies, and real-world AI solutions that contribute to scientific advancement, industrial transformation, and societal development.

AISA encourages both foundational AI research and applied studies that demonstrate impactful use of artificial intelligence in science, engineering, healthcare, education, business, sustainability, and emerging technologies.

The journal publishes the following topics:

1. Fundamental Artificial Intelligence and Computational Intelligence

Research on core AI theories, intelligent algorithms, knowledge representation, reasoning systems, evolutionary computing, neural computing, fuzzy systems, and next-generation AI methodologies including self-supervised and lifelong learning.

2. Explainable, Trustworthy and Secure AI

Studies related to explainable AI (XAI), algorithm transparency, AI robustness, adversarial defense, privacy-preserving AI, federated learning, fairness, bias mitigation, and trustworthy AI evaluation frameworks.

3. Edge AI, Distributed Computing and High-Performance Intelligent Systems

Research on edge intelligence, distributed AI systems, lightweight AI deployment, AI hardware acceleration, high-performance computing, collaborative learning, and energy-efficient or green AI technologies.

4. Brain-Inspired Intelligence and Emerging AI Technologies

Topics including neuromorphic computing, spiking neural networks, brain–computer interfaces, quantum AI, multimodal intelligence, digital twins, generative AI, and creative intelligent systems.

5. Intelligent Industrial, Engineering and Autonomous Systems

Research involving intelligent manufacturing, predictive maintenance, industrial automation, AIoT systems, autonomous vehicles, smart transportation, intelligent control systems, and unmanned intelligent technologies.

6. AI for Smart Infrastructure, Energy and Sustainable Systems

Studies on smart energy management, renewable energy optimization, intelligent infrastructure, smart grids, environmental monitoring, sustainable computing, and AI-driven resource management systems.

7. Interdisciplinary AI Applications and Decision Intelligence

Applications of AI in finance, healthcare, education, agriculture, governance, logistics, legal analytics, and intelligent decision-support systems for complex real-world environments.

8. Human-Centered AI and Social Intelligent Computing

Research related to human–computer interaction, emotional computing, cognitive intelligence, social AI systems, adaptive user experiences, ethical AI integration, and AI impacts on society and human behavior.

 

ISSN:

3029-1763 (O); 3029-1755 (P)

 

Frequency: 

Quarterly

 

Publishing Model:

Gold open access

 

Ownership: 

Vitu Academic Publishing Pte. Ltd.