Learn about the five best languages ​​for developing AI

Artificial intelligence is now popular all over the world. If you want to develop AI, let's first understand the five best languages ​​for developing AI.

Python

Python's simple syntax and versatility make it one of the developer's favorite AI development programming languages ​​because it allows developers to create interactive, interpretable, modular, dynamic, portable and advanced code that makes it more The Java language is more unique. Python is very portable and can be used on multiple platforms such as Linux and Windows. In addition, Python is a multi-paradigm programming language that supports object-oriented, process-oriented and functional programming styles. Because of its simple library of functions and ideal structure, Python is well suited for the development of neural networks and natural language processing (NLP) solutions.

However, developers accustomed to Python struggle to adjust state using different syntax when trying to use other languages. Unlike C++ and Java, Python runs with the help of an interpreter, which makes compilation and execution slower in AI development, not suitable for mobile computing.

C++

C++ is the fastest computer language and is especially suited for time-sensitive AI programming projects. C++ provides faster execution time and response time (which is why it is often used in search engines and games). In addition, C++ allows for large-scale use of algorithms and is very efficient at using statistical AI techniques. Another important factor is that C++ supports reuse of code during development due to inheritance and data hiding, thus saving time and money. C++ is suitable for machine learning and neural networks.

Because C++ multitasking is not effective, it is only applicable to the core or foundation of a particular system or algorithm. And C++ follows a bottom-up approach and is therefore very complex.

Java

Java is also a multi-paradigm language that follows the principles of object-oriented and once-written, everywhere (WORA). Java is an AI programming language that runs on any platform that supports it without recompiling.

In addition to AI development, Java is one of the most commonly used languages ​​and is compatible with most of the syntax in C and C++. Java is not only suitable for natural language processing and search algorithms, but also for neural networks.

Lisp

The Lisp language is used in AI development because its flexibility makes rapid modeling and experimentation possible, which in turn promotes the development of Lisp in AI development. For example, Lisp has a unique macro system that can help explore and implement different levels of intelligence. Unlike most AI programming languages, Lisp is more efficient at solving specific problems because it adapts to the needs of developers writing solutions. Lisp is ideal for inductive logic projects and machine learning.

However, Lisp is the second oldest programming language after the computer programming language family relays Fortran. As an ancient programming language, Lisp needs to be configured with new software and hardware to adapt to the current environment. Few developers are familiar with Lisp programming.

Prolog

Prolog is also one of the oldest programming languages, so it is also suitable for AI development. Like Lisp, it is also the main AI programming language. Prolog's mechanism enables the development of a more flexible framework that is popular with developers. Prolog is a language based on rules and declarations because it has the facts and rules that define the AI ​​programming language.

Prolog supports basic mechanisms such as pattern matching, tree-based data structures, and automatic backtracking necessary for AI programming. In addition to being widely used in AI projects, Prolog is also used to create medical systems.

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