Published March 13, 2026 | Version v1
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INTERCONNECTION AND INTEGRATION OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE

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Description

The main branches of mathematics - algebra, probability theory, linear algebra, optimization and differential equations - are considered as the theoretical basis of artificial intelligence algorithms. Also, the effectiveness of neural networks, machine learning and deep learning processes is analyzed through mathematical modeling.

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References

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  • 2. Bishop C. Pattern Recognition and Machine Learning. Springer, 2006.
  • 3. Russell S., Norvig P. Artificial Intelligence: A Modern Approach. Pearson, 2021.
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  • 5. Schmidhuber J. Deep Learning in Neural Networks: An Overview. Neural Networks, 2015.
  • 6. Shor P. Algorithms for Quantum Computation: Discrete Logarithms and Factoring. IEEE, 1994.