Artificial Intelligence Applications with Advanced Mathematical Methods
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 30 May 2025 | Viewed by 107
Special Issue Editors
Interests: machine learning; artificial intelligence; computer vision; digital twins; robotics
Interests: machine learning applications; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of Artificial Intelligence (AI) harnesses advanced mathematical methods and holds promise for applications in various domains such as Smart Healthcare, Computer Vision, Natural Language Processing and Information Security. Mathematics forms the foundation for developing sophisticated AI systems, with concepts and computations like linear algebra, probability, statistics, and gradient descent being the core underpinnings. By applying these principles, AI techniques have made significant progress because of feasible mathematical solutions to hypothetical or virtual problems in various domains. However, a key challenge in AI research is effectively extracting valuable knowledge from large and complex datasets. There is also growing concern within the AI community about the trustworthiness of AI systems. Scientists from diverse fields are advocating for trustworthy AI that is safe to use. The AI community has developed numerous advanced mathematical methods to address these challenges. This Special Issue aims to showcase the latest scientific research on the fundamental theory and application issues of AI and Machine Learning (ML) techniques, specifically focusing on their use of advanced mathematical methods.
Prof. Dr. Xin Sun
Dr. Gengshen Wu
Guest Editors
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Keywords
- advanced algorithms in machine learning
- advanced mathematical applications
- artificial neural networks
- mathematics for explainable AI
- advanced algorithms in big data analysis and data mining
- optimization techniques in knowledge-based systems
- computation-efficient AI in natural language processing
- computation-efficient AI in computer vision
- computation-efficient AI in information security
- computation-efficient AI in smart healthcare
- computation-efficient AI in intelligent applications
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