Now, it is also used to develop AI algorithms and is the best programming language choice for companies that want to use statistical models for machine learning. One of the biggest strengths is its interactive environment that facilitates rapid prototyping and exploratory model sections. Some of its most popular libraries are RevoScaleR, MASS, plyr, caret, mlr, and XGBoost. C++ is a low-level programming language that functions effectively with machines and hardware, but not theoretical software.

best programming language for artificial intelligence

For the projects that require a database, natural language processing, and symbolic reasoning, Prolog is the best bet! It is the perfect language support for research when it comes to artificial intelligence. R is a programming language designed to solve numerical and statistical issues.

AI Programming With Java

If you’ve done machine learning or data analysis projects, you’ve probably heard of the R programming language. R was originally developed by Ross Ihaka and Robert Gentleman in 1993 to implement the S programming language, which focuses on statistical computation and graphical modeling. Everyone is looking for high-performance, fast, and safe software development, and Rust helps you achieve that! It is a general-purpose programming language that developers love to use for AI development. The syntax of Rust is similar to C++ but the former also offers memory safety and prevents garbage collection.

  • Because it is a general-purpose programming language, Julia can also be used to write a wide range of other performance-critical applications, making it an exciting choice.
  • To meet the growing demand of the industry, there are several other programming languages that are expanding their capabilities to become the best AI programming language of tomorrow.
  • We have seen, used, and become accustomed to this area of technology, which is continually improving.
  • Udemy C++ course is always a cherry on the cake for the students to learn C++ code as their specially qualified teachers is expert to teach you C++ from beginning to end quickly.
  • Through user-created packages, R’s capabilities can be expanded to include a variety of statistical techniques, import/export capabilities, tools, graphical devices, and so on.
  • In terms of AI capabilities, Julia is great for any machine learning project.

The runtime engine “TERR” that is part of “Spotfire” is developed in R. This language is very complex and will take a developer more time to learn. Nevertheless, for skilled programmers that understand this language, it is a good choice for AI development. Something more than a hype, artificial intelligence is here to stay.

R Programming Language

It’s an open-source tool that can process data, automatically apply it however you want, report patterns and changes, help with predictions, and more. Even if you are not already skilled in C++, this programming language is worth considering. It works more efficiently than other languages and has been used to implement some of the most popular libraries like Torch and Tensorflow. If you work in IT or a related field, you have probably heard of Python as a programming language. According to a survey conducted by Toward Data Science, more than half of all data scientists and ML developers used this language in 2017. Popular in education research, Haskell is useful for Lambda expressions, pattern matching, type classes, list comprehension, and type polymorphism.

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11 Best Artificial Intelligence Courses & Certifications.

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Moreover, Java simplifies the scaling of projects, which is a priority for many machine learning engineers. The Java Virtual Machine improves productivity by allowing engineers to write efficient code on multiple platforms for machine learning at once. C++ was very popular in the late 20th century because it is a low-level programming language.

Artificial Intelligence MCQ

The strongest application for this language in AI is problem-solving, where Prolog looks for a solution—or several—to the situation. Programming languages come in a wide variety, from Java to Julia, so where do you begin? You have arrived at the right place if you are an AI enthusiast who is unsure about which coding language to use for your upcoming major project. It means that it will enable you to
write your code in a way that focuses on composing functions together instead
of focusing on variables and data structures. LISP is also great for creating neural networks because it can easily manipulate the network’s weights, which is usually the most challenging part of building a neural network.

  • That’s because it’s a fast language that can be used to code high-performance applications.
  • Ultimately, the best AI language for you is the one that is easiest for you to learn.
  • Raised in Buenos Aires, Argentina, he’s a musician who loves languages (those you use to talk to people) and dancing.
  • Furthermore, Java offers excellent production value, smooth integration, quick execution, and fast runtimes, all of which AI requires.
  • With its simple syntax, abundant libraries, flourishing community and concise coding, Python remains a highly effective AI development programming language.
  • In the case of ML, you must know everything related to data processing, for example, the TensorFlow library.

Originating in 1958, Lisp is short for list processing, one of its original applications. Building artificial intelligence into your software requires a certain skill set, and on that note, an adjacenct tech stack, for development to run smoothly. And recent research suggests that the majority of artificial intelligence projects are market-oriented. Lucero is a programmer and entrepreneur with a feel for Python, data science and DevOps.


Since its launch, Artificial Intelligence has drastically changed everything in our world in unexpected ways. To the younger generation, AI is normal, as they’ve tested its amazing features since birth. However, the older generation can attest to this invention’s numerous impressive changes.

OpenCV offers an in-depth documentation guide to help programmers get up to speed with how to use C++ in your artificial intelligence projects. There are many different modules and algorithms available, including object detection, analyzing motion or object tracking in video and machine learning. Another AI-focused codebase can be found on TensorFlow — a large, open-source machine learning library developed by Google. This intuitive library helps programmers build and train machine learning models quickly and easily, allowing developers to research and test out new ML implementations. Smalltalk’s reflective features help developers with advanced debugging in the most user-friendly way.


This language appeals to most developers due to its type of system, great memory management, and code reusability abilities. However, it is admittedly lazy because it only evaluates codes if necessary. That is an advantage or disadvantage depending on your perspective. AI experts generally prefer Haskell because it is efficient and doesn’t involve excessive typing. Here are the ten best programming languages you can use to build competent AI tools and applications. A modular library designed for AI newcomers is called Pybrain, which stands for Python-Based Reinforcement Learning, Artificial Intelligence, and Neural Network Library.

best programming language for artificial intelligence

AI is designed to make life easier, from planning appointments to running your office or household and driving your car. So, imagine a case where your devices are intelligent enough to know precisely what you want and meet your needs. This will make your life extraordinary and stress-free, and you will have more time to yourself, right? To assist you in creating scalable applications, GO combines the performance of classic C++ & Java with all the simplicity of Python. Look at Prolog for a more logical technique to program an AI system.

What programming language for artificial intelligence is the best?

It is a
general-purpose language used to create software applications, operating
systems, and other programs. Corporations like Apple and Disney, and organizations like NASA are using Julia to program some of their machine learning applications. This language excels in computational science and numerical analysis. Julia was designed to implement basic scientific computing queries and relatively simple mathematical models.

best programming language for artificial intelligence

LISP is one of the most efficient programming languages for solving specific problems. Currently, it is mainly used for machine learning and inductive logic problems. It has also influenced the creation of other programming languages for AI, and some worth examples are R and Julia. The language appeared in the 60s and has long been one of the main tools of AI researchers.


Its simple syntax and object-oriented programming help produce the most complex AI programs. This is the most popular programming language for AI, which can be read more about here, and it is always the top choice for developers. Java is one of the most popular
programming languages in the world. You can use Java for developing machine learning algorithms,
deep learning frameworks, and other tools. In addition to using object-oriented programming, Scala is a functional programming language. The building of websites and web-based applications, as well as data processing, make use of one of the industry’s most succinct high-level programming languages.

  • Once you’ve learned Python, you can move on to other languages if you need to.
  • The strongest application for this language in AI is problem-solving, where Prolog looks for a solution—or several—to the situation.
  • If you have any other programming language which is great for AI or got language support, libraries and eco-system for AI and Machine Learning then please share.
  • Similar to Python, Java is also a platform-independent language as it can also be easily implemented on various platforms.
  • Its name is simply an abbreviation of the term ‘list processing.’ Symbolic expressions were invented especially for LISP.
  • High-performance, quick, and secure software development is what everyone wants, and Rust makes it possible.

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