Approach and Scope
The Journal of Mathematics and Artificial Intelligence (JMAI) follows a double-blind, anonymous, peer-reviewed, open-access model to ensure high-quality research dissemination at the intersection of mathematics and artificial intelligence. We encourage original research articles, review articles, and innovative studies that contribute to key challenges in mathematics, artificial intelligence, and their interdisciplinary applications.
Our scope includes, but is not limited to:
- All branches of Mathematics, including pure, applied, and computational mathematics.
- Research exploring the use of mathematical methods in artificial intelligence.
- Studies that demonstrate the application of AI techniques to solve mathematical problems, including automated theorem proving, symbolic computation, and AI-driven mathematical modeling.
- Different mathematical models and algorithms that reflect emerging trends in AI, including machine learning, deep learning, neural networks, and probabilistic reasoning.
- Machine learning methodologies and their mathematical foundations, including optimization techniques, statistical learning, and algorithmic advancements.
- Interdisciplinary research bridging mathematics and AI to advance scientific and industrial innovation, including AI applications in robotics, automation, data science, and quantum computing.
The journal aims to provide a platform for researchers, practitioners, and academicians to present their findings in these interconnected disciplines. We are dedicated to quality research and to enhancing interdisciplinary cooperation between mathematics and the fields of AI.
We invite authors from around the globe to submit their original research for publication and join us in shaping the future of mathematical and AI research.
