Artificial intelligence is evolving very quickly and its applications are becoming more and more numerous. AI tends to become essential for organizations and people in the future. This is an area that fascinates a lot of developers and there are many tools to contribute to its development. Among the programming languages for AI, there are Python, C ++, Lisp, Prolog … What programming language will you choose to learn in 2020 to design AI products? Here are the top 5 AI programming languages.
This is not new to anyone, Python is one of the most popular programming languages in the field of AI. It is considered by many in the community to be the first programming language of artificial intelligence because of its simplicity. The syntax of python is very simple and is easily understood. This is why many artificial intelligence algorithms can be easily implemented in Python. It requires a very short development time compared to other languages like Java, C ++ or Ruby.
C ++ is one of the fastest programming languages, its speed is a big help for AI programming projects that are time sensitive. C ++ can be used for statistical AI approaches such as those found in neural networks. With a very fast execution time and the principles of OOP, C ++ is a good choice for AI programs. In fact, a large part of machine learning and deep learning libraries are written in C / C ++ and offer APIs for the same.
Lisp is one of the oldest and most suitable languages for the development of AI. It is the work of John McCarthy, who is also known as one of the fathers of artificial intelligence. Its very first version dates back to 1958. Lisp has the capacity to efficiently process symbolic information. It was originally developed for Lambda computing, and since its development, it has evolved a lot over the years while bringing many ideas to IT. We distinguish dynamic typing, recursion, higher-order functions, etc.
R is a computer language interpreted and typed dynamically. If you have already programmed in another language, you can quickly understand how the R language works. In addition to being a versatile language, R has a number of software packages used in the field of machine learning. These software packages facilitate the implementation of machine learning algorithms to solve business problems.
The Java language can also be considered a very good choice for the development of AI. The best thing about this language is its JVM (Java virtual machine) which allows you to create a single version of an application, which will work on all platforms, which means that the program is platform independent. Its strong points are transparency, maintainability and portability. It has several advantages, including ease of use, ease of debugging, package services, simplifying work on large-scale projects.
Source : developpez