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Top Programming Languages For Artificial Intelligence Project

by appstudio November 17, 2020 Time to Read Blog: 3 minutes

AI programming is a technological enhancement that has brought optimal efficiency and benefits to different company operations. Artificial Intelligence has brought advanced smart technology to various industries. This gives the prospect that its potential is still growing with the hope of achieving human intelligence.

This is because developers want to explore, experiment, and implement their capabilities to meet more human and organizational needs. Hence, here is a list of the top 5 programming languages trending for AI developments.

List of Best Programming Languages For Artificial Intelligence Project 

Here, in this segment, as a renowned AI application development company, we will explain the top programming languages for artificial intelligence. So, let’s take a look to understand each aspect in depth. 

#1. Python

In today’s date, Python is the most popular programming language used to develop artificial intelligence solutions. It is easy to learn syntax, extensive libraries and frameworks, dynamic application to a large number of AI algorithms, and relatively easy to write.

Python supports various orientation styles; including procedural, functional, and object-oriented. Moreover, Python developers states, its vast community helps the language to take the forefront of the computer science industry.

The drawbacks of Python include its lack of speed compared to some other languages. Also, its sub-optimal cellular coding capabilities and the difficulties it has with memory-intensive tasks.

#2. R

R is a multi-paradigm language which refers to a procedural language, just like Python. It can also support object-oriented programming, but it’s not as well known for that feature as Python. R considers a statistics workhorse, more so than Python.

Once you start learning, you’ll understand that statistics also form the basis of machine learning and AI. This means you will need something that fits your needs, and R is just that. It is perfect for data analysis, visualization and statistics in general.

However, it is less flexible than Python but more specialized as well. R is also an open-source language. It doesn’t just mean that it’s free to use, for you – it also implies that you’ll get a lot of support when you start using it. R has a large user community, so there’s no shortage of help from expert practitioners if you need it.

#3. Java

One of the best things about Java is the Java Virtual Machine Technology. This technology allows Java developers to build a single version of the application that will run on all computing platforms that support Java. The main strengths of this programming language are as follows: maintainability; portability; transparency.

AI is closely related to search algorithms, genetic programming, and the use of artificial neural networks. Java in the field of artificial intelligence may be more than useful. AI programming in Java consists of several benefits: facilitated visualization, ease of debugging, simplified work with big projects, easy use, and better user interaction. Another reason to program AI in Java is the combination of Swing and SWT.

These features make the graphics and interface look attractive and sophisticated. Another reason to use Java in AI programming is the many tutorials on the Internet. Java is versatile. Additionally, one can use them to create multi-robot systems, sensor networks, and machine learning circuits.

#4. LISP

If we are talking about the LISP, was developed in 1959 and it is the first language created for artificial intelligence programming. LISP creates objects dynamically, acts as an automatic garbage collector, and they are very good at prototyping. This makes it possible to reset the program while running as well.

LISP’s unique features also migrate to other languages. LISP is a group of programming languages ​​such as Clojure and Common LISP. However, it is a programming language needed for developing artificial intelligence solutions. LISP is a traditional AI language that is more difficult for programming and learning. The LISP cannot match the current advanced requirements as it was previously developed.

#5. Prolog

Prolog is the first logic programming language used to develop AI solutions and computational linguistics. A proficient AI app development company, claims, the Morden program Prolog offers users to create programming with the help of a graphical user interface.

It is a programming language that is used to develop artificial intelligence projects. One can use Prolog for automatic planning, rewrites, type systems, and proof of theorems. Also, Prolog is used to search databases, voice assistance systems, and fill out forms.

What’s Next?

If you are reading this, you must already be aware of the potential of AI and the opportunities it brings. In this article, we often refer to the best programming languages for AI solutions. However, in reality, there are almost none.

Our proficient experts at AppStudio states, the choice of programming language for AI always depends on many important factors: the specifications of your business, whether it’s a new product or an existing one, what the market is. Moreover, many solutions do not rely on a single technology, which consists of several solutions to implement the desired functionality and achieve high efficiency.

Last Words

Here, in this blog, we explained about the top 5 programming languages for Artificial Intelligence. We believe that each case is unique. That’s why, before making any recommendations, we ask our clients all these questions, delving deep into research and planning before starting development. Spend countless hours searching the Internet, trying to understand complex technical terms, Get in touch with us and leave it to our trusted expertise!

appstudio

Appstudio is a full service Mobile App Development Company offering services in Native iOS Development (Swift 5.1), Android Development (Java and Kotlin), React Native Development & Unity Game Development. They have collaborated with Fortune 500 companies, Startups, and Mid Sized firms across a spectrum of industries, ranging from Health Care & Finance to On-Demand Services, to create Mobile apps that are actively being used by Millions of users across the globe.

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