How do we get to achieve AI?

We do this through the use of AI development languages which make it possible to develop the skill sets in devices.

Artificial intelligence (AI) is yet to come up with a language. However, even with this setback, there are very many advancements in technology owing to the use of AI development languages. With time, machines are getting programmed to show excellent sets of skills such that they can compete against humans in games which require high levels of thinking.

Check out some of the best AI development languages on the market

Python

It first came to be in the year 1991 and is the best when it comes to a simple structure to make the process smooth. It has a simple syntax, as well as its rich text, which have helped it to earn its position as the solution to many NLP problems.

Pros

People love using this language as it enables them to create neural networks. You can also learn machines easier using it. It has many other advantages to it besides the ones above.

Features

When compared to other development languages, it has a short development time which makes it convenient for programmers. It also has a high-level syntax and a big library. In addition to these features, it is an excellent way to test algorithms without having to implement them.

C++

Initially released in the year 1983, it has made a name for itself concerning speed. AI involves a lot of calculations, and a fast AI development language is of the essence, thus making C++ a favorite in this sense.

Pros

People also use it to build neural networks as well as to learn machines.

Features

It is a great choice when looking for high performance levels, and it has high levels of abstraction. With it, you can organize your data based on object-oriented principles, in addition to STL collection.

LISP

Its initial release was in 1959, and it led to the creation of Python. People recognize it as the second programming language after Fortran. Though it came to be decades ago, it holds its own when it comes to the development of AI, thanks to its amazing features.

Pros

Through the use of a unique macro system, Lisp enables programmers to come up with a domain specific level of abstraction and to create following levels on it. Thanks to the ability of this language to adapt to a problem, developers look to it in the learning of machines. Other programming languages lack in this area as you can only choose them with the full knowledge that they can accomplish something, thanks to their inflexibility.

Features

It comes with fast prototyping abilities, efficient coding, the ability to collect garbage automatically, support for symbolic expressions as well as an interactive evaluation of components.

Prolog

This language came to be in 1972, and it led to the creation of XSB and Mercury. It is often seen as declarative when compared to the other programming languages. As such, it operates on the mechanism that the logic of any program gets represented by facts and rules.

Pros

It can solve logical problems.

Features

It comes with automatic backtracking, data structuring in tree patterns as well as matching of patterns.

Java

It first came about in 1995, and it is object-oriented. Java follows the principle of ‘write once, read everywhere’ and can run on all platforms without a need for extra recompilation, thanks to the use of virtual machine technology.

Pros

Advantages associated with it include ease of usage and debugging.

Features

It is portable, scalable, has garbage collection and makes it easy for programmers to code algorithms.

With such programming languages, the development of AI keeps getting smoother by the day.