] The improvement of artificial intelligence technology not only brings efficiency to the operation of enterprises, but also brings convenience to people's lives. To date, AI has enabled projects such as biometric intelligence, self-driving cars, and facial recognition. </p>
<p>Like the development of most software applications, developers are using multiple languages to write AI projects, but there is no single perfect programming language that can fully speed up AI projects. The choice of programming language often depends on the desired functionality of the AI application. The debate on the best AI programming language never stops, so this article compares the 5 most commonly used programming languages for AI projects and lists their pros and cons. </p>
<p> Due to its syntax, simplicity and versatility, Python has become the favorite programming language for artificial intelligence development among developers. One of the most impressive things about Python is its portability, which can be used on platforms such as Linux, Windows, Mac OS, and UNIX. Allows users to create interactive, interpreted, modular, dynamic, portable and advanced code. </p>
<p> Additionally, Python is a multi-paradigm programming language that supports object-oriented, procedural, and functional programming styles. Due to its simple function library and ideal structure, Python supports the development of neural network and NLP solutions. </p>
<p>Python's object-oriented design increases programmer productivity. </p>
<p> Compared to Java and C++, Python is faster to develop. </p>
<p> Programmers accustomed to using Python to write artificial intelligence programs have difficulty adapting to the language's syntax. </p>
<p> Unlike C++ and Java, Python needs to work with the help of an interpreter, which slows down compilation and execution in AI development. </p>
<p>C++ is the fastest computer language, if your AI project is particularly time sensitive, then C++ is a good choice, it provides faster execution time and faster response time (this is why it is often used for search engines and games). Furthermore, C++ allows extensive use of algorithms and is efficient in using statistical artificial intelligence techniques. Another important factor is that C++ supports code reuse in development. </p>
<p> Poor multitasking; C++ is only good for the core or foundation of implementing a particular system or algorithm. </p>
<p> It follows a bottom-up approach and is therefore quite complex. </p>
<p>Java is also a multi-paradigm language, following object-oriented principles and the principle of write once read/run anywhere (WORA). It is an AI programming language that can run on any platform that supports it without recompilation. </p>
<p> Java is one of the commonly used languages in the development of various projects, not only for NLP and search algorithms, but also for neural networks. </p>
<p>Lisp is a computer programming language and is the second oldest programming language after Fortran. Over time, LISP evolved into a powerful, dynamic coding language. </p>
<p> Some people consider Lisp to be the best artificial intelligence programming language because of the freedom it offers developers. The use of Lisp in artificial intelligence, because of its flexibility, allows rapid prototyping and experimentation, which in turn promotes Lisp in AI development. For example, Lisp has a unique macro system that facilitates the development and implementation of different level of intelligence. </p>
<p> Unlike most artificial intelligence programming languages, Lisp is more efficient at solving specific problems because it adapts to the needs of developers to write solutions, making it ideal for inductive logic projects and machine learning. </p>
<p>As an older programming language, Lisp requires new software and hardware configuration to accommodate its use. </p>
<p>Prolog is also one of the ancient programming languages, like Lisp, it is also a common language for artificial intelligence project development, with the mechanism of flexible framework, it is a rule-based and declarative language, contains the artificial intelligence that determines its Facts and rules of coding languages. </p>
<p>Prolog supports basic mechanisms such as pattern matching, tree-based data structures, and automatic backtracking for artificial intelligence programming. In addition to being widely used in artificial intelligence projects, Prolog is also used to create medical systems. </p>