5 Best Programming Languages for AI Development (2023 Edition)

Programming Languages for AI

If you are an IT engineer looking for a programming language for AI, then you are at the right place. Here in this blog, we are going to tell you the 5 best programming languages for AI development that you can easily use in 2023. 

On the other hand, Artificial intelligence is on everyone’s mind, especially businesses looking to expand beyond their current capabilities. AI can help your company save time and money by automating and optimizing routine processes. Once AI is in place, you can be confident that those tasks will be completed more quickly, accurately, and reliably than humans.

Today, in this blog, we will explain to you the 5 best programming languages for AI. But let’s first know what artificial intelligence is.

What Is Artificial Intelligence?

The term artificial intelligence is often used as a blanket term that covers a wide range of technologies and research areas. It is commonly used when referring to software programs or devices that can perform tasks that normally require human intelligence. 

In simpler words – Artificial intelligence refers to intelligent machines.

5 Best Programming Languages for AI Development (2023 Edition)

The following are five programming languages that are well-suited for AI development.

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1. Python 

Without any doubt, python is the number one programming language for AI. The reason why python is best is that its syntax is so simple that any beginner programmer can easily code in python. However, Python is a high-level and general-purpose programming language. 

On the other hand, python seems user-friendly, but it can easily handle large and complex projects. There are several libraries that python uses, which are as follows: 

  1. Pandas
  2. SciPy
  3. nltk
  4. PyTorch
  5. Keras
  6. Theano
  7. scikit-learn

Key Features of Python Programming language

Here are the top 10 features of the python programming language:

  1. Graphical User Interface (GUI) Support
  2. Platform Independent
  3. Large Community Support
  4. Object Oriented Programming Language (OOPS)
  5. High-Level Language
  6. Large Standard Library
  7. Open Source And Free
  8. Dynamically Typed Language
  9. Interpreted Language 
  10. Easy To Learn and Readable Language

2. R Programming Language 

Next on our list of best programming languages for AI is R language. The main reason why we added R programming language to this list is that R is a popular language, and it is pretty handy at crunching numbers. On the other hand, it includes a software suite for data manipulation, calculation, and graphical display.

Here are some of the best R packages you may want to look into:

  1. data.table
  2. dplyr
  3. ggplot2
  4. caret
  5. e1071
  6. xgboost
  7. randomForest

Key Features of R Programming language

Here are the top 10 features of the R programming language:

  1. Can Handle all Sorts of Data
  2. Integration with Other Technologies
  3. Performs Fast Calculations
  4. No Need for a Compiler
  5. Cross-Platform Compatibility
  6. Facilities for Various Industries
  7. Open-source
  8. Possesses several Graphical Libraries
  9. Provides a Wide Array of Packages
  10. Comprehensive Language

3. Lisp

Next on our list of best programming languages for AI is the Lisp language. Overall, Lisp is known in recent history for being extremely flexible and capable of turning ideas into reality. Lisp programming language was formally known as LISP, and it is one of the oldest AI development languages used by multiple programmers nowadays. 

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On the other hand, there are several AI projects where the Lisp programming language can be used, which are as follows:

  1. Executing data structures as programs
  2. Modifying programs as data
  3. Rapid prototyping
  4. Dynamic object creation
  5. Mandatory garbage collection

Key Features of Lisp Programming language

Here are the top 10 features of the Lisp programming language:

  1. Machine-independent language
  2. Dynamic patching
  3. Common Lisp Object System (CLOS)
  4. Extensive data types
  5. Advanced numeric types
  6. Complete IO library
  7. Interactive development in AI
  8. Robust as well as fast
  9. Multiparadigm and Uniform
  10. Innovative / Advanced ( Multiple-values, dispatch, combinations, etc)

4. Java

Java is one of the best programming languages for AI. Java is a well-known server-side programming language. Its main advantage in a java programming language is that its virtual machine allows you to use Java almost anywhere, on any platform.

However, Android developers can also work with Kotlin, Java is the native language for Android app development.

AI Libraries in Java is as follows:

  1. Weka
  2. MOA (Massive On-line Analysis)
  3. MLlib (Spark)
  4. Encog Machine Learning Framework
  5. Signa
  6. RapidMiner
  7. Smile

Key Features of Java Programming language

Here are the top 10 features of the Java programming language:

  1. Portable
  2. Platform independent
  3. Secured
  4. Robust
  5. Interpreted
  6. Object-Oriented
  7. High Performance
  8. Multithreaded
  9. Distributed
  10. Dynamic

5. C++ & C Programming language

Last and the historic programming language on our list are C and C++. As you already know that C++ has been around for a while and is a low-level language.

This means C++ works well with hardware and machines but not so well with more theoretical software.

As a result, C++’s low-level programming capability makes it perfect for handling AI models in production. For these reasons, C++ remains popular in the artificial intelligence community.

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AI Libraries in C and C++ are as follows:

  1. Microsoft Cognitive Toolkit (CNTK)
  2. mlpack Library
  3. DyNet
  4. Caffe
  5. TensorFlow 146k
  6. OpenNN 
  7. SHARK Library

Key Features of C/C++ Programming language

Here are the top 10 features of the C/C++ programming language:

  1. Object Oriented Programming language
  2. Platform Dependent 
  3. Mid-level programming language
  4. Rich Library
  5. Structured programming language
  6. Features of C/ C++ : Simple Programming language
  7. Powerful Memory Management
  8. Powerful & Fast
  9. Syntax based language
  10. Pointers

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Use Artificial Intelligence in Your Next Project

Artificial intelligence is not a toy. Every day, you use machines to make your life easier, from driving to entering appointments into your digital calendar.

So, what happens when your machines understand exactly what you want and are intelligent enough to meet your needs without prompting?

On a personal level, such an opportunity is fantastic. There’s even more, to be excited about in the business world.

Deploying one of the above-mentioned languages in your tech stack is only a small part of developing competent AI software.

Conclusion (Programming Languages for AI)

This is the end of this blog, which is the 5 best programming languages for AI (  Artificial Intelligence). You can use any of these programming languages for your next AI project. 

On the other hand, we also mentioned some of the best libraries with each AI-compatible programming language. That means you can easily use these libraries to get the most out of them or to make your programming easier. Thanks for reading this blog.

Happy Codding!

FAQs (Programming Languages for AI)

Q1. Is C++ better than Python for AI?

No, C++ is not better as compared to Python for AI. In fact, Python has widely considered the best programming language for artificial intelligence. However, if you need to code in a low-level language or develop high-performance routines, C++ can be used for AI development.

Q2. Is Java or C++ better for AI?

While Python is still the most popular language, Java and C++ can be advantageous in certain use cases and scenarios. For example, C++ could be used to create high-performance routines. On the other hand, Java could be used to create more production-grade software.