The demand for artificial intelligence is continuously on the rise. Businesses are leveraging AI to enhance operations, boost productivity, and improve customer experiences. Moreover, it offers several benefits, such as minimum errors, automation, and smart decision-making. The global market size of artificial intelligence is likely to reach USD 407 billion by the year 2027.
That shows the growth of AI in recent times. When it comes to AI development, choosing the right programming language is important. In this article, you will get to know about the 10 best programming languages to use for AI development. Let’s dive in!
1. Python
Python for AI development is considered to be the best option. The user-friendliness of Python is one of the main reasons that it is a popular choice among developers. This programming language is quite easy to learn and extremely flexible. Even if an AI developer does not have a programming background, they can conveniently work with Python.
Python is user-friendly and easy to use and it is capable of handling complex and large projects. Compared to other programming languages, Python helps in producing short and readable codes. Moreover, it is platform-independent. That means it can easily run on any platform, from Unix to Windows.
Python comes with data visualization libraries that prove to be vital for AI development. Developers can get the required assistance through the different Python tutorials and forums, thereby making AI development convenient.
Related: Programming with Advanced Python and Excel Course
2. Java
Java is one of the most popular programming languages. It is an object-oriented, high-level programming language that was designed by James Gosling in the year 1995. It is quite popular owing to its write once, run anywhere (WORA feature). That means once you have compiled the Java codes, it can easily run on all platforms.
Apart from Android apps and web apps, Java is also used for AI development. Its low dependencies, scalability, and platform independence are some of the prominent factors that make it a top choice among AI developers. For AI development, this programming language offers frameworks and libraries like Java Machine Learning Library, MLlib, Apache OpenNLP, Deep Java Library, Neuroph, and more.
3. Lisp
Lisp is one of the oldest programming languages that was designed by John McCarthy in the year 1958. This programming language has been used for AI development for many years. Its logic-oriented approach and flexibility make it a top choice among developers.
The capability of Lisp to handle symbolic data makes programming easier for AI. Some of the inventions of Lisp in the field of programming include dynamic typing, automatic storage management, tree data structure, higher-order functions, and a self-hosting compiler.
Other beneficial features of Lisp are information processing capabilities, dynamic object creation, rapid prototyping, and garbage collection. All these make the programming language ideal for AI development.
4. C++
C++ is a well-known programming language that was designed by Bjarne Stroustrup in the year 1985. The prominent advantages of using this programming language include efficiency, speed, and flexibility. The language is widely used for building servers, desktop applications, video games, and more. It is also increasingly being used for AI development.
C++ comes with a number of ML and AI libraries, such as Microsoft Cognitive Toolkit, Caffee, DyNet, TensorFlow, mlpack library, FANN, Shogun, and OpenNN. That is why this programming language is a preferred option among AI developers.
5. R
R is another prominent programming language used for AI development. It is a statistical programming language that is quite popular among data scientists. In AI development, data is at the core. R comes with robust data processing capabilities, thereby helping in AI development.
The open-source language can process data and apply it in the manner you want. It can also help in reporting changes and patterns and help with predictions. The best thing is that R can be integrated with other programming languages to offer you the best outcomes.
6. Prolog
Prolog stands for Programming in Logic. It is a programming language that was developed in the year 1972 by Robert Kowalski and Alain Colmerauer. It is widely used in projects involving artificial intelligence and computational linguistics. It is a top choice for tasks that involve natural language processing, symbolic reasoning, and a database.
Prolog comes with unique capabilities like finding and structuring data in a logical manner, understanding and matching patterns, and automatically backtracking a process. The best way to use Prolog in AI development is for problem-solving. It can also be used in virtual assistants and chatbots to facilitate smart communication.
7. Haskell
Next on the list is Haskell. It is a purely functional, statically-type programming language. The main features of this programming language are list comprehension, lambda expressions, lazy evaluation, type classes, pattern matching, and type polymorphism.
The abstraction capabilities of Haskell make it quite flexible, mainly when it comes to dealing with errors. The type system and efficient memory management also provide advantages to the developers. Moreover, the codes can also be reused, thereby making development faster and easier. Overall, it is a decent programming language for AI development.
8. Rust
Rust is a general-purpose, multi-paradigm programming language that was designed by Graydon Hoare in the year 2010. This language has mainly been designed for safety and performance. It helps in the development of high-performing and fast AI tools.
The syntax of Rust is quite comparable to C++. However, Rust forgoes garbage collection and offers memory safety, unlike C++. The ability of this programming language to offer performance, speed, and safety makes it a popular choice for AI development. Its adoption is likely to increase even more in the years to come.
9. Julia
When it comes to programming languages for AI development, you cannot overlook Julia. It is a dynamic, high-performance, high-level programming language that was designed by Stefan Karpinski, Jeff Bezanson, Viral B. Shah, and Alan Edelman in the year 2012. It is suitable for AI solutions dealing with computational science and numerical analysis.
There are several benefits of using Julia for AI development. It compiles all the codes by default into machine codes even before running it. It comes with automatic garbage collection and memory management.
Moreover, Julia provides several packages for ML and AI. It includes Mocha.jl, Flux,jl, Merlin.jl, TensorFlow.jl, LossFunctions.jl, DecisionTree.jl, and Knet.jl.
10. Scala
Scala is general-purpose programming language that is ideal for AI development. It makes coding simple, quick, and efficient. Scala supports the Java Virtual Machine environment and helps developers in building intelligent applications. It comes with a wide range of features, such as flexible interfaces, fast and high-performing functions, pattern matching, and browser tools.
Moreover, this programming language is compatible with JavaScript and Java. It has evolved as one of the best AI programming languages for designing AI applications.
Conclusion
The demand for AI solutions will continue to increase in the coming years. By now, you must be well aware of the top programming languages used for AI development. Now it is time to select the right programming language and get started.
The choice of language will depend on the type and features of the solution you want to build. Hire proficient AI developers, discuss your requirements, and develop the best AI solutions with the top programming language.
