Combination of Artificial Intelligence and Spl

Abstract

This paper presents a comprehensive comparative analysis of four prominent programming languages used in Artificial Intelligence (AI) applications: Python, R, Java, and Julia. The evaluation focuses on key aspects such as performance, language features, ease of use, scalability, library support, and suitability for various AI tasks, including machine learning, data analysis, and scientific computing. The analysis also considers factors like syntax readability, execution speed, the richness of the library ecosystem, and integration capabilities with external tools. A practical use case involving the implementation of a linear regression task is included to illustrate the differences among these languages. The goal of this study is to assist AI practitioners, researchers, and developers in selecting the most appropriate programming language for their specific project requirements, thereby enhancing both development efficiency and the performance of AI applications.