With more industries seeking out AI to help them succeed, software developers are scrambling to find the best programming languages to use in their development. However, there are only 10 programming languages that can help you be successful in AI development. In this article, we will break down the top 10 programming languages used for AI-powered software and provide insight into each language for your next project!
Artificial Intelligence (AI) is a rapidly growing field with many potential uses. In this article, we’ll discuss the top programming languages for AI development.
- According to recent studies, Artificial Intelligence development is growing faster than ever before.
- The market for AI-related services is expected to grow from $176 billion in 2020 to $2.1 trillion by 2025, a CAGR of almost 20%.
- Moreover, the number of AI jobs is also projected to grow significantly during the same period. By 2025, there will be over 1 million AI-related jobs in the U.S. alone.
The two most popular AI programming languages used by every app development company in Chennai are Python and Java. Both have their strengths and weaknesses, but they’re both widely used and supported. Other popular AI languages include C++, R, and Swift. Each has its advantages and disadvantages, so it’s important to choose the right one for your project.
Top 10 Programming Languages for AI Development in 2022
In 2022, the top programming languages for Artificial Intelligence development will be Python, Java, C++, and R. Python is currently the most popular language for AI development, and it is expected to maintain its lead in 2022. Java is a strong second choice for AI development, and C++ will continue to be a major player in the field. However, R may become an increasingly important option for AI development over the next few years. Let us know about the top 10 AI development tools in detail to settle for the one that suits your needs the best!
- Python
- R
- Java
- C++
- Scala
- NodeJS
- Go
- Swift
- Haskell
- Lisp
1. Python
Python is a high-level, general-purpose programming language that is widely used for software development. It has a well-defined structure and semantics, making it easy to read and write code. Python also has a large standard library, making it simple to find the functions you require.
In addition, Python is versatile enough to be used for Artificial Intelligence development. Its powerful data structure capabilities make it easy to build algorithms and models, while its interpreted nature makes it fast and flexible. Finally, Python is easy to learn, so you can get started right away on your project.
2. R
R is a versatile and widely used programming language for Artificial Intelligence development. It has been widely used in research, data analysis, and machine learning applications. R has a well-developed ecosystem of packages and libraries that can be used for AI development. R is also highly scalable and efficient, making it an ideal choice for large-scale AI projects.
3. Java
Java is a popular programming language that can be used for Artificial Intelligence development. It has an extensive library of built-in functions that allow developers to easily create algorithms and code structures. Java also supports object-oriented programming, which makes it easy to create complex programs.
There are several different Java development platforms, including the Java Development Kit (JDK) and the Java Runtime Environment (JRE). These platforms provide tools and libraries that make it easy to create Java programs.
4. C++
C++ is a powerful and versatile language that can be used for Artificial Intelligence development. It has a wide range of libraries and tools that make it easy to develop AI applications.
C++ is also very stable and reliable, which makes it a good choice for high-traffic websites or applications. Additionally, its low learning curve makes it an ideal tool for beginners who are interested in pursuing AI development careers.
It is well-suited for large-scale projects due to its ability to handle complex algorithms and data structures efficiently.
5. Scala
Scala is a powerful and versatile programming language that is popular for AI development. It has many features that make it a good choice for developing AI applications, such as its ability to compile to Java bytecode, its strong type system, and its efficient garbage collector. Additionally, Scala has a large community of developers who can help you get started with the language.
6. NodeJS
NodeJS is a platform-agnostic JavaScript runtime for building fast, scalable network applications. It enables you to build single-page apps with HTML, CSS, and JavaScript, using the same code base across devices. NodeJS is used by companies such as Uber, Airbnb, PayPal, and SoundCloud.
NodeJS is perfect for AI development because it allows you to quickly create prototypes and deploy them to the web. It also has an extensive module system that makes it easy to add new functionality to your applications.
7. Go
Go is a widely used language for AI development. It is compiled and statically typed, making it suitable for dealing with complex algorithms and data structures.
Its concurrency model makes it well-suited for developing web applications or services that need to handle large numbers of concurrent users. Go also has a built-in package management system, which makes it easy to find and use third-party libraries.
Some of the main benefits of using Go include its high degree of code readability, its fast execution times, and its support for multiple programming languages.
8. Swift
Swift is a powerful programming language that makes it easy to create software that can run on a wide range of devices. This allows developers to create software that is easily accessible and usable by a wider range of people. Swift also has a well-defined structure that makes it easy to read and understand code.
9. Haskell
Haskell is a powerful, statically typed, functional programming language that makes it easy to create robust, reliable AI applications. Haskell is ideal for developing complex algorithms and data structures, as well as logging and monitoring systems. Haskell also has a large community of developers who are available to help you get started.
10. Lisp
Lisp is a versatile and powerful programming language that can easily be adapted for Artificial Intelligence development.
Lisp is a functional programming language, which means that it focuses on functions as opposed to variables and statements. This makes Lisp an ideal language for Artificial Intelligence development because it helps create code that is more predictable and less likely to produce unexpected results.
Lisp also has a rich ecosystem of libraries and tools that can be used for AI development, making it easier to get started than other languages. For example, machine learning libraries like TensorFlow can be used to train models using data sets. And the Common LISP HyperSpec provides comprehensive documentation on how to use the language in various contexts.
Epilog
As Artificial Intelligence development becomes more and more complex, it's important to have a programming language that can handle the task at hand. Each of these languages has proven to be versatile and capable of handling a variety of tasks, making them ideal for use in AI development projects. Picking one of these languages should be at the top of your list followed by choosing the right app development company in Chennai skilled in the same!
