In this era of digital transformation, web and mobile app development run hand-in-hand with modern technologies. Undoubtedly, the demand for developers has increased drastically over the last few years, and it is not going to stop anytime soon.
With modern and feature-rich websites and applications becoming the new norm, businesses want highly secure, fast, scalable, and prosperous apps. The aim is to serve the audience with a personalized and rich user experience. On that front, both developers and UI/UX designers have worked rapidly to meet the expectations of both businesses and their audiences.
Most of the advancements in web and app development have become possible with the use of technologies like artificial intelligence (AI) and machine learning (ML). These technologies have their use cases and applications in almost every industry and segment, and development is no different.
Therefore, a huge number of companies around the world are looking for the best programming language for AI and machine learning that can help them build modern projects to entice users. This works like an out-of-the-box thing and allows companies to look at a wider picture because traditional strategies need to be revamped for long-term success.
But which are the top artificial intelligence programming languages in 2024 which are highly reliable, secure, scalable, and enable faster development? In this comprehensive write-up, we have answered it well. Before diving into that, let’s understand exactly what is AI technology, how it can help in development, its role and benefits, and much more, backed by some important statistics.
What is Artificial Intelligence (AI)?
AI is a modern technology based on computer science that helps in developing smart machines and algorithms that can work and react like real human beings. For instance, artificial intelligence can learn and think like humans, recognize voices, solve problems, plan things, etc.
AI technology generally makes computers and machines smart like actual humans, so that those machines can make decisions on their own and learn new things from patterns. One of the most common examples of AI applications is autonomous or driverless cars.
The rapid advancements in technologies have brought AI in programming as well, which has opened a plethora of new opportunities.
Role of Artificial Intelligence Coding in Web/App Development
Talking about the global AI software market, it is expected to reach $126 billion by the end of the year 2025. The primary applications of AI software include natural language processing, machine learning, and robotic process automation.
Every tech giant today is investing heavily in AI acquisitions and research & development. Microsoft, Google, Amazon Web Services (AWS), IBM, and Samsung are some top players in the AI segment.
AI coding languages are witnessing fast growth for several reasons and applications. For instance, AI chatbot development helps businesses to provide a better experience to the users, while saving operational costs. These chatbots can be leveraged by every industry, whether it is healthcare, education, banking or travel, just to name a few.
As a result, the market size of chatbots will reach $1.34 billion by 2024. For the development of chatbots are other AI-powered applications, it becomes crucial to choose the best AI programming language.
Another great example of AI in programming is Netflix. Stats show that nearly 80% of the people watch movies and shows on this platform that are recommended to them by the AI-based recommendation system.
Hence, every successful platform, whether it is a video streaming solution or an eCommerce development for sites like Amazon, relies on artificial intelligence and machine learning technologies.
What Are Benefits of Using AI in Programming?
There are plenty of advantages to using AI coding languages. It can help in improving user experience, serve personalized content, optimize for voice search, make the lives of UI/UX designers easier, etc. Let’s explore some of the primary benefits in detail.
1. Enticing and Improved User Experience
UX or user experience is one of the most important aspects of a website or mobile app development. If you can’t serve your visitors in an effective and efficient manner, they will land on the sites of your competitors.
AI helps in improving the user experience significantly and keeps the visitors engaged. Eventually, it leads to customer conversion and business growth. Hence, the use of AI languages makes the overall UX enticing, keeps the elements customer-focused, and boosts overall customer engagement on your website or application.
2. Serving Personalized Content
A website or app might have thousands or millions of products or services for the customers, but which product is the customer looking for on your site? If the visitors don’t find a product/solution of their requirement or expectation at the earliest, it can result in loss of conversion.
To ensure business growth, AI can help you to create algorithms that serve your visitors’ personalized content. Whether it is about physical or digital products, music, videos, or other forms of content, artificial intelligence coding can show the content on the basis of user behavior.
When users find the right content or solutions with minimum effort, they are more likely to go for it.
3. Optimizing for Voice Search
Voice search optimization is among the fastest-growing trends in digital marketing and web development. It is because of the rise in the use of smart digital assistants like Siri, Alexa, Google Assistant, etc. Moreover, voice search options are also available with many search engines and mobile apps.
People tend to use voice search more today as the majority of them use mobile devices more compared to desktop devices. As a result, websites need to have a solid strategy to cater to the changing needs of their audience.
On this front, AI-based algorithms and tools help businesses to optimize their sites and apps for voice searches and mobile devices.
4. Intelligent Insights for Developers and Designers
Along with the creation of modern and user-friendly elements and designs, AI coding languages can also help web developers and designers to find intelligent data-driven insights. They can understand what sort of designs perform best and what they can do to improve the existing designs.
On that front, there are several useful AI-based analytics tools available in the market. Developers and UI/UX designers at top AI development companies are already using such tools to ensure that their websites have the most efficient and high-performing designs and functionalities.
Also Read: How Much Does it Cost to Develop AI Chatbot?
5. Modern & Conversational Web Design
As the role of AI in programming becomes more prevalent, modern website design with conversational interfaces is becoming the new norm. One fine example of conversational web design is the explosion in the use of AI chatbots on websites.
These chatbots use natural language processing (NLP) systems to understand the intent of the users and answer their queries professionally the way support teams do. This not only upgrades the customer experience by reducing the wait time but also helps them make their decisions faster.
For example, a customer looking for a particular service might have some questions before considering a purchase. The chatbot can quickly answer the question, which can increase the conversion rate on the site and contribute to the business growth. So, it is a win-win scenario for both the customer and the company.
6. Artificial Design Intelligence (ADI) Systems
Another valuable benefit of artificial intelligence programming languages is the advent of ADI systems. ADI or artificial design intelligence is something that automates the creation of websites and other designs using machine learning.
ADI systems work automatically once you feed them with your requirements, details, information, and some design choices. You can get the site developed from scratch within a matter of a few minutes.
Such tools have become a possibility today because of the advancements in artificial intelligence technology.
Best AI Programming Languages 2024
1. Python
The first in the list of top artificial intelligence programming languages is Python. It is one of the most preferred languages for machine learning, neural networks, as well as natural language processing (NLP). The reasons behind the popularity of Python are that it is easy to learn, flexible, can be written with minimal code, and is highly effective for mission-critical tasks.
Moreover, Python comes with a number of built-in libraries, including Pandas, NumPy, SciPy, etc. The code syntax is quite simple compared to other languages. It is also an object-oriented programming language that can be used with other languages as well.
As a high-level general-purpose language, Python is highly appreciated by python developers, as it allows them to manage even large and complex projects in a convenient manner.
One of the most popular frameworks of Python is TensorFlow, which is an ideal choice for AI development. It is primarily used for the training of deep neural networks.
Here are the main libraries and frameworks available for Python:
- NumPy
- SciPy
- Pandas
- PyTorch
- Keras
- Nltk
- scikit-learn
- Theano
While Python can be used for several purposes, it has got the highest traction as the best programming language for artificial intelligence.
Read More: Top 15 Python Frameworks for Web Development
2. Java
Java is another well-known and widely used coding language, primarily for the server-side. The best thing about Java is that it can be used for various types of development and on multiple platforms.
The reason Java is counted as the best language for artificial intelligence is that it comes with various open-source libraries for deep learning and NLP. It is also user-friendly and offers a platform for developing AI applications.
The debugging of code is easier in Java compared to several other coding languages. It allows scalability and can be used for even large-scale and mission-critical enterprise projects.
For Android app development, Java has been the native language. Although Android developers also work with Kotlin, it is still widely used. Some of the most famous AI-based Android applications built using Java include Google Assistant and FaceApp.
Following are the libraries and frameworks available with Java:
- OpenNLP
- Java Machine Learning library
- Neuroph
- Kubeflow
- Deep Java library
3. Prolog
Prolog comes with a whole different way of approaching AI in development. The full form of Prolog is Programming in Logic since it was created for logic-based programming concepts.
The role of Prolog has increased in the field of machine learning and AI because of its unique way of assisting in creating AI-powered development projects. When developers work with Prolog language, they need to feed some data and requirements, which primarily include rules, facts, and the expected outcome.
Read More: Best Artificial Intelligence and Machine Learning App Ideas for Startups
Prolog, the best AI programming language, then figures the most efficient way out of the provided inputs to develop an AI solution. This makes Prolog a unique coding language. The pros of using Prolog are that it is powerful, flexible, and highly efficient.
It is an apt option for AI solutions because of its qualities in pattern matching, backtracking, and data structuring.
4. C++
C++ is among the most common languages in use today that works pretty well with both hardware and software. The reason it is good for AI development is that it involves low-level programming and makes it easier to handle AI models in production.
While searching for the best programming language for artificial intelligence, C++ can’t be ignored. It can be efficiently used to develop neural networks and for the translation of user code into machine-readable code.
Moreover, some of the well-known machine learning libraries have been developed using C++ programming. For these reasons, this is a good fit for developing AI projects.
5. Haskell
Haskell is another great programming language for AI because of its flexibility and expressiveness. It is a functional coding language that is statically written.
Error debugging is easier in Haskell, which saves a significant amount of time for developers. It is also called a lazy programming language because it performs code evaluation only when it is required.
Some of the primary benefits of Haskell are that it efficiently manages the memory and type system, allows code reusability, and efficiency.
Related Blog: Top 15 Mobile App Development Trends for Android & iOS
6. R Programming
R Programming is also listed among the best languages for AI because of its handiness at crunching numbers and statistics. It is mostly preferred by professional statisticians and data scientists.
Since data plays a big role in AI, R programming can be a good fit to enable better and more accurate analysis and representation of data. There are a number of packages also available for R to facilitate additional benefits. For instance, Gmodels offers model-fitting tools, the Tm framework can be used for text mining apps, and OneR is good for applying the One Rule ML classification.
Therefore, when it comes to AI projects with statistical processes, R is one of the best options to go with.
7. Julia
Julia is relatively new in the market but has a wide scope in developing AI projects. There are several pros of using Julia, including debugging, memory management, metaprogramming, and more.
Furthermore, Julia provides support for parallel and distributed computing, which is crucial in various AI applications. You can also use it if you want a language compatible with C functions and dynamic type systems.
It is well-known for AI tasks involving numbers and data analysis. You get a number of handy tools to develop dynamic interfaces and graphics for data visualization. The community of Julia programmers is still small, though.
8. Scala
Scala speeds up the AI development processes while making the programming easier and more productive. You get several power-packed features with Scala, including flexible interfaces, web browser tools, efficient functions, pattern matching, etc.
It is one of the best AI programming languages in 2024, as it enables the effective development of AI-powered intelligent software. It works well with both Java and JavaScript, which brings another positive point for developers who are already working on Java or JS.
It also comes with Scaladex, which includes valuable libraries and resources for Scala.
9. JavaScript
JavaScript is among the most popular and widely used languages today because of its ease of use and learning. For artificial intelligence development, it has capabilities to build interactive projects that perform smoothly, even if you use other source code.
Moreover, JavaScript development can be applied for managing both front and backend functionalities. Generally, you will find JS being used more for dynamic and secure sites. With time, there is an advent of new JS frameworks that makes the execution of AI tasks possible in web browsers.
Another reason to use JavaScript as your programming language is that it has a large base of the community.
10. Lisp
Lisp has been here for the last several decades, but it started to gain traction when its use cases increased in AI development. Lisp is short for list processing, which was its primary use case when it came into existence. It is considered one of the oldest AI programming languages.
It is quite different from other coding languages and is being used by several AI companies and startups. Developers can use Lisp for AI programming to bring thoughts and ideas to reality. It is primarily famous for its logical solutions.
Read Also: Top Programming Languages According to GitHub That Are Trending
However, this language is not becoming as prevalent as other best programming languages for artificial intelligence because of certain flaws. The syntax is also difficult compared to other languages for AI.
Still, if used well with some expertise, it can help create wonderful projects and work like a great asset. It is great for creating dynamic objects, executing data structures as programs, rapid prototyping, and modifying programs as data.
Wrapping Up
These are the top 10 coding languages for AI development in 2024. Python, Java, JavaScript, C++, and R are some common languages developers are familiar with. Whereas Prolog, Haskell, Julia, Scala, and Lisp are a bit less explored but have significant roles in building AI applications.
These languages play a vital role today as businesses of all sizes tend to build modern websites, apps, and provide Custom Software Development powered by technologies like AI and machine learning.
