THE EVOLUTION AND IMPACT OF ARTIFICIAL INTELLIGENCE IN MATHEMATICS : A COMPREHENSIVE ANALYSIS
This thesis delves into the burgeoning intersection of Artificial Intelligence (AI) and Mathematics, exploring the evolution, methodologies, applications, and implications of AI in mathematical research, problem-solving, and education. Through a multidisciplinary lens, it investigates how AI techniques, including machine learning, neural networks, and natural language processing, are transforming traditional mathematical approaches, enabling novel solutions to complex problems, and reshaping the landscape of mathematical inquiry. Drawing upon diverse literature, case studies, and theoretical frameworks, this thesis aims to provide a comprehensive understanding of the role of AI in mathematics, its current state, challenges, and future direction.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.17605/osf.io/jt8pg
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00