AI TRANSFORMING SYSTEMS THROUGH MATHEMATICS, STATISTICS AND COMPUTATIONAL ANALYSIS ACROSS DISCIPLINES
Editors
Ms. D. Jeyanthi Prassanna
Assistant Professor, Department of Mathematics, Rathinam College of Arts and Science, Coimbatore – 641021.
In today’s rapidly evolving digital world, Artificial Intelligence (AI) is not just a tool but a transformative force reshaping the foundations of every discipline. From engineering and medicine to social sciences and economics, AI’s integration with mathematics, statistics, and computational methods is revolutionizing how problems are analyzed and solved. This emerging synergy enables smarter systems, predictive insights, and efficient decision-making across sectors. With data as the new driving force, understanding the interplay between theory and application is crucial. This volume explores how mathematical modeling, statistical reasoning, and computational techniques empower AI to tackle real-world challenges. It bridges disciplinary gaps, offering fresh perspectives on how AI can enhance traditional frameworks and foster innovation. By bringing together cross-disciplinary research and methodologies, this book stands at the intersection of theory, computation, and intelligent design, guiding readers through AI’s role in reshaping the future of interconnected systems and research across domains.
Sub-topics
Mathematics
- Solving Differential Equations
- Topology
- Optimization Problems in Mathematics
- Number Theory
- Graph Theory and Networks
- Algebraic Geometry
- Driven Cryptography
- Deep Learning and Mathematical Modelling
Statistics
- Bayesian Inference
- Statistical Learning Theory
- Driven Time Series Analysis
- High-Dimensional Data Analysis
- Hypothesis Testing
- Multivariate Statistical Analysis
- Survival Analysis
- Statistical Simulation and Monte Carlo Methods
Computer Science
- Cybersecurity
- Database Systems
- Cloud Computing
- Quantum Computing
- Computational Linguistics
- Augmented Reality (AR) and Virtual Reality (VR)
- Data Structures and Algorithms
- Compiler Optimization
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SUBMISSION DATE
Last Date for Submission ⇢ 20.09.2025
Notification of Acceptance ⇢ 25.09.2025
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