THE INTERCONNECTION BETWEEN ARTIFICIAL INTELLIGENCE AND PROGRAMMING

Authors

  • MISIROVA MAHBUBA BAKHTIYOROVNA uzbek

Abstract

This article explores the strong interconnection between artificial intelligence and programming in the context of modern technology. It examines how programming serves as the foundation for developing intelligent systems, including machine
learning and deep learning models. The paper highlights the importance of algorithms, data processing, and coding practices in building efficient AI applications. It also discusses the role of programmers in designing, optimizing, and maintaining AI systems, as well as the ethical considerations associated with their use. The study emphasizes that the integration of artificial intelligence and programming is essential for innovation, automation, and the advancement of digital technologies.

References

Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th

ed.). Pearson.

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.

Géron, A. (2019). Hands-On Machine Learning with Scikit-Learn, Keras, and

TensorFlow (2nd ed.). O’Reilly Media.

Mitchell, T. M. (1997). Machine Learning. McGraw-Hill.

Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Springer.

Sutton, R. S., & Barto, A. G. (2018). Reinforcement Learning: An Introduction

(2nd ed.). MIT Press.

Tanenbaum, A. S., & Bos, H. (2015). Modern Operating Systems. Pearson.

ISO/IEC. (2018). Information Technology — Artificial Intelligence Standards.

MIT OpenCourseWare. (2020). Introduction to Artificial Intelligence.

Journal of Artificial Intelligence Research (JAIR), Elsevier & Springer

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Published

2026-04-29