The Most Useful Programming Languages For Artificial Intelligence

From a time to this part, we are returning to hear much talk about artificial intelligence, a world that these days is mourning the death of Marvin Minsky, one of his parents along with John McCarthy, precisely who coined the term there by 1956. At that time, it sounded like science fiction (although the functioning of intelligence had already aroused interest much earlier. In fact, Aristotle came to describe a set of rules with which the mind processes the information to draw rational conclusions) , And yet today it seems clear that part of our future is precisely the ability of machines to learn and make logical decisions based on knowledge and learning.

Moreover, this leads to studies such as the claim that artificial intelligence will replace lawyers that Google will integrate into a new messaging app, or that investors like Elon Musk will set up an institute to investigate. Not to mention the way in which Facebook works to integrate it in its interface, specifically in the part of the system dedicated to choosing what contents are displayed in the feed of each user, in order to make them stay longer connected.

In the last five years, programming has become very important in the field of education, to the point that subjects of this aspect are include in early stages of teaching. Technological advances are going to make the jobs of the future change drastically, so that it is absolutely necessary to educate oneself in this field.

Each time we are encouraged to learn programming from more areas. Knowing how to program can help us solve our day-to-day problems or better focus our present and future work. According to this, one of the aspects that most retracts those who want to enter the world of programming: the large number of existing programming languages.

Opening a specialized text editor in programming is sufficient to warn that the list of available languages ​​is very long. Although all have many things in common, each one is made up of certain characteristics that make writing code in one language or another demand a different learning.

If you are a programmer, or if you study to become a programmer in the future, you are probably asking yourself what you should do to be able to dedicate yourself to an area that seems to have so much future, and that surely demands many professionals in the coming years, right? ? The good news is that, in fact, virtually any programming language can be employed to develop software with artificial intelligence functions. However, there are three most outstanding, we talk about them:


Defined in 1958 by John McCarthy when working at MIT (yes, precisely with Marvin Minsky), it has evolved ever since, to the point where it is not so much a programming language as a Family of these, all based on the same specifications but with different dialects, functions, and so on.

It is a high-level language (it is considered the first multipurpose symbolic language) and, in general, its users agree that it is easy to learn to program in Lisp. However, the complexity in the development of artificial intelligence algorithms is something else. And more complicated, of course.


Created in France in the early 70’s, it was born with the intention of being used in the programming of functions for electronic devices (robotics) that, based on the circumstances, should be able to make decisions, which also had to have Certain weight their own experience (learning). From that moment and until today, it has become the reference language in the world of engineering (especially computer science) for the development and research on artificial intelligence.


If you are not a programmer, chances are you have never heard of Haskell. But if you’re a programmer, it’s also possible that it only sounds remotely, since its inception in the early 90’s, has never enjoyed too much popularity. And why did we tell you about him? Because after two years of work, Facebook engineers launched their new antispam message filtering system, developed precisely with Haskell. Yes, indeed, antispam filtering, that kind of task that requires a good dose of intelligence deposited in the machine that runs it.