Introduction:

Artificial intelligence is an engineering branch, which basically aims to make computers think intelligently, in the same way that intelligent humans think. Artificial intelligence (AI) simplifies work, solves multiple problems and can make decisions quickly. However, it is difficult to learn, but it is one of the robust and pioneering technologies that help to reach new levels of refinement and efficiency.

Artificial intelligence makes “think” of intelligent machines or software as a human being would do and imitate the way he would act. In addition, it has brought many optimal benefits to the needs of organizations and people’s lives. Artificial intelligence (AI) projects continue to thrive with growing momentum.

AI research is described as learning “intelligent agents.” The meaning of intelligence is any device that recognizes its environment and therefore performs actions that guide its perspective to achieve its goals. Artificial is a breakthrough in technology and has produced efficiencies and benefits for different businesses and people’s lives.

It has been discovered that AI has provided a whole new level of intelligent technology to various types of industries and there is also a wide possibility of development, waiting for it to reach the level of human intelligence For the development of aplica With software, a developer has many different options for choosing between the languages ​​to write the programs. For AI development, there are many programming languages ​​to choose from.

The choice of programming language and the development process are based on the expected functionality of the AI ​​application to be developed

Main objectives of artificial intelligence:

• Plan the future and improve decision making with better forecasting models to Analyze hidden models.
• Enable hyper-personalization
• To increase productivity and operational efficiency.
• To automate daily activities and free up time for creative work

Here are the main languages ​​most often used for artificial intelligence projects:

1. Python :

Python is considered the first in the list of all AI development languages ​​for simplicity. The syntaxes that belong to Python are very simple and can be easily learned.  Python requires little development time compared to other languages ​​like Java, C ++ or Ruby. Python supports object-oriented, functional and procedure-oriented programming styles. There are many libraries in Python that simplify our activities.

For Example: Numpy is a Python library that helps us solve many scientific calculations. In addition, we have Pybrain, which is for using machine learning in Python.

2. Prolog :

Prolog is one of the oldest logic programming languages ​​designed specifically for the development of AI. It offers a number of useful functions to solve logical problems and create expert systems for machine learning. When we talk about Prolog, it is declarative in nature, which means that the logic of any program is represented by rules and facts.

Prolog programming for artificial intelligence has exceptional pattern matching and automatic reverse functions. It supports numerous frameworks that simplify programming a lot. These exclusive Prolog features apply to various aspects of AI development for advanced solutions.

3. C ++:

C ++ is appreciated for AI programming projects as it provides faster execution and has shorter response times. It is one of the fastest computer languages ​​that offer significant benefits to developers. Since the development of AI is accompanied by a large number of calculations, C ++ can play a vital role here.

It is a good choice for computer game search and development based projects. When it comes to developing AI in machine learning and building neural networks, C ++ allows extensive use of algorithms. The best part of C ++ is that it works on all platforms without any additional recompilation. Provides faster execution of complex algorithms using statistical artificial intelligence techniques.

4. Java

Among the best programming languages ​​for AI, Java is another useful language for artificial intelligence projects. In general, it is one of the most common and familiar languages ​​among developers. But in AI, Java is used to create machine learning solutions, neural networks, research algorithms, genetic programming and multi-robot systems.

Another strong point is the scalable and object-oriented language, which are indispensable characteristics for artificial intelligence projects. In addition, Java has the ability to encode different types of algorithms. Other advantages of Java in AI are: easy to learn, easy to debug, service packages, simplified work, better user interaction and graphical representation of data. READ ALL: The best books to start with artificial intelligence (AI).

5. Lisp :

Lisp is the one of the oldest  and high-level programming languages for the development of AI. It comes after Fortran and in a few years it has quickly become the preferred programming language for artificial intelligence (AI). In addition, it has many unique features, flexibility and allows for rapid prototyping to new levels.

The Lisp language includes tree data structures, automatic storage management, dynamic typing, conditionals, higher-order functions, recursion, self-host compiler and read-evaluation-print cycle. This language offers developers the freedom to prototype and experiment. Lisp is considered efficient for inductive logic projects.

6. R:

R is one of the most effective languages ​​and environments for analyzing and manipulating data for statistical purposes. Using R, we can easily produce a well-designed publication-quality diagram, which includes symbols and mathematical formulas where necessary.

In addition to being a generic language, R has numerous packages such as RODBC, Gmodels, Class and Tm which are used in the field of machine learning. These packages facilitate the implementation of machine learning algorithms to solve problems associated with the business.

Conclusion:

You can try one of these programming languages ​​to meet the different needs of your AI development projects. For AI developers with unique and useful features all of these programming languages ​​come.