Artificial intelligence is the future of the 21st century and is quickly becoming one of the most important fields in technology!
It is expected that the AI industry will reach $126 billion by the end of 2025. In this sense, developing AI-based technologies becomes imperative since you can see their impact in the long run.
In this article, we’ve compiled a list of the 10 artificial intelligence programming languages that will be most useful for developing AI applications. That has the potential to change the world in ways we can’t even imagine.
These languages have been specifically designed for this purpose and are known for their ease of use and versatility.
Whether you’re a beginner who is looking to learn more about AI or an experienced developer who is looking for a new language to use, these languages are perfect for you. So read on and let us guide you through the best options for AI development.
Why AI Development is Crucial Today?
There are a few reasons why AI is gripping things so quickly. First, AI has the potential to help us solve some of the world’s biggest problems.
For example, AI can help us find and destroy cancer cells, improve our food production, and help us manage traffic.
Second, AI has the potential to change the way we do business. For example, it has the potential to automate many of the tasks that we currently do manually.
And finally, AI has the potential to change the way we learn. For example, it can teach us how to learn new skills much faster.
With these skills, we have different AIs that are making things easier for us today. Let’s have a look at those before we deal with the main protagonist of the story i.e., programming.
There are different types of AI, but the three most popular are:
- Natural language processing (NLP)-Computers are capable of understanding human language.
- Machine learning– This is the ability of a computer to learn from data and improve its performance over time.
- Robotics– This is the use of robots to perform tasks that would normally be done by people.
What Are The Different Types of AI Algorithms That Are Used in Programming?
Artificial intelligence (AI) is the process of creating software that can perform tasks that normally require human intelligence.
AI can be divided into two categories: supervised and unsupervised. Supervised AI is when the computer is given a set of instructions and it must follow them to produce the desired result.
Unsupervised AI is when the computer is given a set of data and it must find patterns and make decisions on its own.
There are many different types of AI algorithms, and each has its benefits and drawbacks. Here are 10 of the best language for AI programming languages:
1. C#
C# is a high-level Microsoft programming language which is pronounced as “C-Sharp” that is commonly used for developing applications that work with Windows.
It is a general-purpose language that is easy to learn and has a wide variety of libraries available. It can be used to develop different types of robust and secure applications like window applications, web service applications, distributed applications, database applications, and many more.
Languages such as C++, Java, Eiffel, Modula-3, and Pascal have been influenced by C#.
2. Java
Java is a popular programming language and according to Oracle, Java is now running on more than 3 billion devices around the world, which makes it one of the most commonly used programming languages.
Java is used to create applications that work on computers that run the Java virtual machine. Java is cross-platform and can be used to create applications for web mobile, and desktop platforms.
Mobile and desktop applications, big data processing, embedded systems, etc., are all developed using Java.
3. Python
Python is just another popular programming language that can save you time, effort, and money by giving you big-time advantages.
It is among the most popular and high-performing programming languages, which is capable of handling complicated tasks and platforms for all types of tasks. It is used to create applications that work with the web.
It is easy to learn and has a large community of professional developers. The best part is Python is a commonly used programming language for ai so you don’t have to hustle for programmers.
4. R
R is the best programming language for AI to create applications that work with data. AI projects that involve analyzing and presenting data require R as a programming language.
Using R data can be processed, and applied automatically, patterns and changes can be reported, predictions can be made, and more. It is used by statisticians and data miners to analyze data.
To produce well-rounded software and a productive workflow for your business, R should be used in tandem with other reliable tools.
5. MATLAB
MATLAB is an artificial intelligence programming language used by data scientists, engineers, and mathematicians worldwide.
The main purpose of this application is to be for creating applications that work with data. Data can be analyzed, algorithms can be developed, and models and applications can be created.
If you are a novice or an expert, MATLAB is tailored to your way of thinking and how you work.
6. Scala
Scala is a new way to program intelligent software using Java Virtual Machines (JVMs). It simplifies, speeds up, and makes coding easier with Java and JavaScript.
In addition to Scala’s powerful features, such as high-performance functions, flexible interfaces, and pattern matching, its efforts to impress programmers have been successful.
The language is now one of the most popular for developing AI applications. It is used to create applications that work with the web. It is a general-purpose language that is easy to learn and has a large community of developers.
7. Prolog
A sequence of coded instructions is replaced by a set of facts, rules, goals, and queries in Prolog. In addition to understanding patterns and matching them, Prolog is capable of finding and structuring data logically, and automatically backtracking a process if it is not heading in the right direction.
Overall, Prolog is most useful for problem-solving, where it searches for solutions or multiple solutions. So it’s used in chatbots and virtual assistants like IBM’s Watson. Despite its limited versatility and ease of use, Prolog can be a valuable tool.
8. C++
C++ even though one of the most popular languages around, it’s not as useful when developing AI as the previous options. AI is primarily affected by the syntax of C++.
Machine and deep learning applications cannot be quickly coded because it is too complicated.
On the other hand, it is used to create applications that work with the Windows operating system. It is a general-purpose language that is difficult to learn and has a large library available.
9. TensorFlow
TensorFlow is a popular AI programming language that is used to create applications that work with data. It is used by developers to train and infer deep neural networks, among many other things.
When it comes to AI development, the languages you use will largely depend on the type of AI software you use.
For example, if you are using machine learning algorithms, you will need to use a language that supports machine learning. If you are using NLP algorithms, you will need to use a language that supports natural language processing.
10. Lisp
The oldest programming language for AI development is Lisp, developed in the 1960s. With this software, you can solve problems, write code that modifies itself, create dynamic objects, and prototype very quickly.
Although there are advantages, there are also disadvantages. Due to its unusual syntax, Lisp is difficult to interpret compared with modern computer languages. The availability of relevant libraries is also limited, as is the number of programmers who can advise you.
Even though Lisp has flaws, it is still in use and is worth exploring for your AI projects. There are several companies that have succeeded with it, including Grammarly, DART, and Routinic.
Key Factors When Choosing AI Programming Language
Developing artificial intelligence (AI) using the right programming language is essential. However, which language should you use? There are several key factors to consider when choosing a programming language for AI development, including:
1. Popularity
The most popular programming languages for AI development are Python, Java, and C++. These languages are well-known and have a large user base, so you can be sure that they are reliable and up-to-date.
2. Familiarity
Many of the most popular AI development languages are relatively easy to learn, so you will be able to start developing AI applications relatively quickly.
3. Efficiency
The most popular AI development languages are highly efficient, meaning that they can handle large amounts of data quickly.
Thank you for reading our blog post on the top programming languages for AI development. The demand for AI professionals is high in this rapidly growing field. In this post, we highlighted the best programming languages for AI development.
For more information on programming languages, visit ScrumDigital, where we have a wealth of resources available.
