Journal of Artificial Intelligence Science
An international journal focusing on theoretical and applied achievements in the field of artificial intelligence.
Journal of Artificial Intelligence Science
Editor in chief: To be invited
ISSN online: xxxx-xxxx
A message from the Journal Manager: AI-driven and computationally intensive research frequently faces an uphill battle in academic publishing, its value overshadowed by preconceptions.
We are dedicated to recognizing the rigorous and transformative insights generated within the field of artificial intelligence, providing the objective and respectful forum this research deserves.
Impact Factor (IF): /
Cite Score: /
Subject areas may include, but are not limited to:
1. Machine learning, deep learning, neural networks, probabilistic reasoning, and symbolic AI.
2. Optimization, search algorithms, planning, reinforcement learning, evolutionary computation, and statistical learning theory.
3. Fairness, accountability, transparency, explainability, privacy-preserving AI, robustness, and AI governance.
4. Multi-agent systems, human-AI collaboration, generative AI, large language models, edge AI, neuromorphic computing.
Aims and Scope
Journal of Artificial Intelligence Science is an open‑access forum for cutting‑edge research across the full spectrum of artificial intelligence. We aim to publish high‑quality, reproducible work that advances both the theoretical foundations and practical applications of AI.
The journal welcomes contributions on, but not limited to: machine learning, deep learning, neural networks, probabilistic reasoning, and symbolic AI; optimization, search algorithms, planning, reinforcement learning, evolutionary computation, and statistical learning theory; fairness, accountability, transparency, explainability, privacy‑preserving AI, robustness, and AI governance; as well as multi‑agent systems, human‑AI collaboration, generative AI, large language models, edge AI, and neuromorphic computing.
We encourage studies that combine rigorous methodology with real‑world relevance, including interdisciplinary and ethically informed research. By maintaining a fast, equitable peer‑review process and low article processing charges, the journal seeks to democratize access to transformative AI science for researchers worldwide.
