Atul Singla,
- Assistant Professor, Department of Mathematics, DAV College, Bathinda, Punjab, India
Abstract
This study discusses the basic roles of optimization algorithms and the theory of probability in the process of evolution and development of Artificial intelligence (AI). First, we introduce the role played by the next generation of leading-edge optimization algorithms developed since gradient descent to evolutionary strategies with respect to the learning of high-level AI models and how to enable them to learn to effectively explore high-dimensional parameter spaces. At the same time, probabilistic principles including Bayesian inference and stochastic modelling, provide tractable methods to address uncertainty, model interpretability, and highly informed decision-making under incomplete data. Bringing such mathematical constructions together, our research demonstrates the role of optimization and probability as the foundations of learning adaptation and generalization and as a pathway towards new avenues in adaptive, robust AI. The research goes deeper into experimental analyses that show advantages of this integration across AI domains, including reinforcement learning, computer vision, and natural language processing.
Keywords: Artificial intelligence, optimization techniques, probability theory, gradient descent, evolutionary algorithms, Bayesian inference, stochastic modelling
[This article belongs to Journal of Computer Technology & Applications ]
Atul Singla. The Role of Optimization and Probability in Shaping Artificial Intelligence. Journal of Computer Technology & Applications. 2025; 16(02):123-128.
Atul Singla. The Role of Optimization and Probability in Shaping Artificial Intelligence. Journal of Computer Technology & Applications. 2025; 16(02):123-128. Available from: https://journals.stmjournals.com/jocta/article=2025/view=215335
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Journal of Computer Technology & Applications
| Volume | 16 |
| Issue | 02 |
| Received | 28/04/2025 |
| Accepted | 20/06/2025 |
| Published | 30/06/2025 |
| Publication Time | 63 Days |
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