Artificial Intelligence and Algorithms
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 2025
Special Issue Editor
Special Issue Information
Dear Colleagues,
The Special Issue, “Artificial Intelligence and Algorithms”, aims to delve into the mathematical foundations and innovative advancements in the rapidly evolving fields of artificial intelligence (AI) and algorithm development. As AI technologies continue to revolutionize various domains, the role of sophisticated mathematical models and algorithms becomes increasingly critical in driving these innovations. This collection seeks to explore the theoretical and foundational aspects of algorithms that underlie AI systems. This includes work in algorithmic complexity, computational models, optimization techniques, and new paradigms in AI.
This Special Issue will highlight key areas where mathematics intersects with AI, including but not limited to optimization techniques, statistical methods, machine learning algorithms, and computational complexity. We seek to explore how mathematical theories and frameworks underpin the development of intelligent systems that can learn, adapt, and make decisions. Topics of interest include the design and analysis of algorithms for deep learning, reinforcement learning, natural language processing, and data mining, as well as the application of advanced mathematical tools such as linear algebra, probability theory, and differential equations in solving complex AI problems.
By bringing together contributions from mathematicians, computer scientists, and AI researchers, this Special Issue aims to provide a comprehensive overview of the state-of-the-art mathematical techniques driving AI. We invite theoretical and applied research papers that present novel mathematical models, innovative algorithms, and their practical applications in AI. This collection will serve as a valuable resource for researchers and practitioners looking to deepen their understanding of the mathematical principles that form the backbone of artificial intelligence and its algorithms.
Prof. Dr. Fuhsing Wang
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- deep learning
- neural networks
- natural language processing
- computer vision
- adaptive learning systems
- big data
- algorithm optimization
- cognitive computing
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