Currently, Artificial Intelligence is one of the industries most in need of computer science. Many famous technology companies have the ambition to create AI (artificial intelligence) because of their immense value, solving many human problems that humanity has not solved.
This intelligence can think, think, learn … like human intelligence, but process data at a wider scale, more scale, system, science and faster than humans.
So if you are interested in employment in a field full of opportunities and new as above, then follow this article. Quantrimang will suggest some of the best programming languages for developing this challenging artificial intelligence system. Stay tuned.
Python has proven itself to be an extremely suitable language for developing AI. One of the reasons why Python is so popular is its uncomplicated simplicity. AI is thought to be an extremely complex field, so it would be great if the programming language was simple, easy to understand and easy to implement.
The syntax of the Python language is considered to be easy to learn by anyone interested in programming. Python has a very short learning curve (learning process, experience accumulation and results of progress).
One more thing when it comes to building AI projects, Python has a shorter development time than other programming languages like C ++. Python is a versatile language that supports various programming styles, including object-oriented, functional, and procedural.
In addition, this language has many useful libraries used in AI, can use it smoothly with data structures and AI algorithms, typically Pybrain used for Machine learning and Numpy. to perform complex calculations.
Lisp is one of the oldest programming languages and is well suited to developing AI. Strictly speaking, this language was invented in 1958 and gradually became a specialized language in artificial intelligence in the United States.
Lisp has excellent prototyping capabilities and its support for symbolic expressions is also very well suited to AI. It is also considered a powerful programming language, used in large AI projects such as Macsyma, DART, and CYC.
Lisp has a unique development cycle that allows recompilation of functions and interaction evaluation of expressions. These two features can be useful in AI development.
Lisp language is mostly used in Machine learning / ILP sub-field by symbolic structure and its usability.
3. R programming language
The R language is known to be a very powerful tool for machine learning, statistics and data analysis. R can run code without using any compiler, can perform any calculations, diagrams and formulas on vectors … when needed.
As a versatile programming language, R has a rich and powerful package repository that can be used to develop AI, such as G model, RODBC, Tm or Class …
In addition to Lisp, Prolog is also a language specifically designed for AI development. Prolog has many features that make it an ideal language for machine learning. Some of the most salient features of this language are pattern matching, automatic backtracking, and tree-based data structuring mechanisms. Combining these features will give you a flexible framework during work, and it is considered extremely useful in programming AI projects. In addition to AI projects, Prolog is also used in the construction of medical systems.
Smalltalk was the first object-oriented programming language, dynamic data type, and reflective properties introduced in the early 1970s. Smalltalk can be used for both machine learning and artificial intelligence. This language is designed to meet the goal of symbiosis between humans and computers.
Smalltalk has quite a large fan base. As an object-oriented language, Smalltalk allows to perform complex tasks in an easier and more organized way. It supports fast and repetitive programming. The language also makes it easy to devise a graphical user interface and develop prototypes.
The Smalltalk environment allows MVC patterns, user interface design and efficient GUI rendering.