10 Best Programming Languages for AI Development

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.

best programming language for artificial intelligence

Join a network of the world’s best developers and get long-term remote software jobs with better compensation and career growth. In most cases, R is better than Python when it comes to statistics. Prolog’s built-in list handling is recursive, allowing for problem solving, analytics and overall improved application performance. By using Towards AI, you agree to our Privacy Policy, including our cookie policy.

Journeying into the realms of ML engineers and data scientists

Undoubtedly, AI has improved the quality of our lives by instigating positive transformations in numerous sectors affecting humankind. The usage of it in chatbots and virtual helpers like IBM’s Watson is the result. Consider how straightforward but useful these clever communication methods are. Although Prolog may not be as flexible or user-friendly as Python or Java, it can be of great use. This indicates that C++ performs well with hardware and machines but less so with software’s more theoretical aspects. But first, let’s examine the rationale behind their adoption by artificial intelligence engineers.

I used ChatGPT to write the same routine in 12 top programming languages. Here’s how it did – ZDNet

I used ChatGPT to write the same routine in 12 top programming languages. Here’s how it did.

Posted: Mon, 17 Apr 2023 07:00:00 GMT [source]

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.

What do the best languages for AI development have in common?

When it comes to handling data analysis and numbers, Julia is the best development tool. Deploying a powerful AI requires an extraordinary team of engineers. At Dirox, our developers are highly skilled in using different languages to build AI programs that will be most suitable for you. Aside from the proficient technical skills, developers at Dirox are also great communicators who prioritize collaboration to achieve better productivity and results. Please contact our expert consultants to learn how we can open business opportunities with AI.

  • Few codebases and integrations are available for C++ because developers don’t use C++ as frequently as Python for AI development.
  • Many of the most popular libraries
    and frameworks are written in Java, including Hadoop and TensorFlow.
  • It is also used in healthcare to process big data, diagnose diseases, determine risks, and adjust treatment.
  • Python is an ideal programming language used for Machine Language, Natural Processing Language (NLP), and Neural networks, etc.
  • Deploying a powerful AI requires an extraordinary team of engineers.
  • If you already know Java, you may find it easier to program AI in Java than learn a new language.

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.

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It is the ease of using such packages that drives the popularity of R as the best programming language for data science. Google created and released the Python library TensorFlow for use in AI applications. The library is used to create machine learning-based AI applications. It comprises the majority of Google’s production AI services and supports the implementation of neural networks.

Is Java or C++ better for AI?

Best programming languages for AI development: C++

C++'s low-level programming capabilities make it ideal for managing simple AI models. For example, developers utilize C++ to create neural networks from the ground up and translate user programming into machine-readable codes.

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.

Top 6 AI Programming Languages to Learn in 2023

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


Haskell’s efficient memory management and type system are major advantages, as is your ability to reuse code. JavaScript is also blessed with loads of support from programmers and whole communities. Check out libraries like React.js, jQuery, and Underscore.js for ideas. One key feature is its compatibility across platforms, so you don’t have to rewrite code every time you use a different system. You don’t need to worry so much about the quality of your AI graphics.

#2. Java

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.

best programming language for artificial intelligence

It’s essentially the process of making a computer system that can learn and work on its own. Few codebases and integrations are available for C++ because developers don’t use C++ as frequently as Python for AI development. Let’s look at the best language for AI, other popular AI coding languages, and how you can get started today. C++ offers several AI and ML libraries such as Caffee, Microsoft Cognitive Toolkit (CNTK), TensorFlow, DyNet, OpenNN, FANN, Shogun and mlpack library.

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Many Python libraries were designed to classify and analyze large data sets, which makes it a valuable language in both AI and machine learning. The next step best programming language for artificial intelligence is to consider the amount and type of data that you’re processing using AI. Artificial intelligence algorithms are powerful, but they’re not magical.

  • The library is used to create machine learning-based AI applications.
  • R is also a good choice for AI development, particularly if you’re looking to develop statistical models.
  • It runs directly in the browser and gives developers a lot of additional options.
  • The proliferation of artificial intelligence has had a major impact on the field of software development, and its importance will continue well into the future.
  • In Prolog AI programming, the programmer specifies a set of rules or ‘facts’, and the end goal.
  • Again, the reason remains the same for its less popularity, unavailability of a huge crowd behind it.

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