The origin of Artificial Intelligence (AI) dates way back in time. So, it is safe to say that it is not an innovation in the year 2022. We have witnessed, used, and gotten used to this area of technology and it is getting better day by day.
Having said that, businesses and individuals incline more towards AI development these days. With benefits like enhanced customer experience, smart decision making, automation, minimum errors, and data analytics, AI development seems to be a perfect choice.
However, after you have made this choice, there is another hard decision you need to make - choosing a programming language for AI development. While there are many languages out there that will get the work done, you should know which one will suit your project. To make your decision easy, we have made a list of the ten best programming languages for AI development. Let us look into it:
Java by Oracle is one of the best programming languages available out there. Over the years, this language has adapted to the latest innovations and technological advancements. The same is true for AI. Using Java for AI development can help you get some scalable applications.
For AI development, Java offers ease of usage and debugging and simplifies large-scale projects. You can represent the data in graphics and offer better user interaction.
Java’s Virtual Machine Technology helps the developers build a single version of an app that they can run on other Java-based platforms. Developers can also work on the graphics and interfaces, making them more appealing with the Standard Widget Toolkit. In all, Java helps you maintain, port, and make AI applications secure.
Another one on the list is Python, the programming language that offers the least code among all others. There are many reasons why we need to hire Python developers India that help in AI development. These reasons include:
- Prebuilt Libraries for advanced computing like Numpy, Scipy, and Pybrain.
- Open-source language with support by developers from across the world. There are many Forums and Tutorials for Python that you can seek help from.
- The advantage of Python Machine Learning.
- Python is an independent and flexible language compatible with multiple platforms with minimum tweaks.
- There are options like Scripting, OOPs approach, and IDE that allows fast development with diverse algorithms.
With all these features and many others, Python has become one of the best languages for AI development.
While Julia does not come with a large community or support, it offers many high-end features for top-notch AI development. When it comes to handling data analysis and numbers, Julia is the best development tool.
If you need to make a dynamic interface, catchy graphics, and data visuals, Julia provides you with the right tools for perfect execution. With features like debugging, memory management, and metaprogramming, this language makes AI development a breeze.
For machine learning AI projects, Julia is the best bet. It comes with many packages like Metahead, MLJ.JL, Turing.JL, and Flux.JL.
Lisp is one of the oldest languages used for AI development. It was developed in the 1960s and has always been an adaptable and smart language. If your project requires modification of code, problem-solving, rapid prototyping, or dynamic development, Lisp is for you.
Some successful projects made with Lisp are Routinic, Grammarly, and DART. Though it has its drawbacks, Lisp is still a promising programming language for AI development.
A statistical programming language, R is one of the most suitable choices for projects where you need statistical computations. It supports learning libraries like MXNet, TensorFlow, Keras, etc. The language is adopted by many industries like education, finance, telecommunication, pharmaceuticals, life sciences, etc. It is the language that fuels tech giants like Microsoft, Google, Facebook, and businesses like Uber, Airbnb, etc.
R includes user-created packages like graphical devices, tools, import/export capabilities, statistical techniques, etc. With built-in graphic and data modeling support, the language allows developers to work on deep learning moderns without much hassle.
Prolog is short for Programming in Logic. The language was developed in 1972 in a rule-like form. It is majorly used for projects that involve computational linguistics and artificial intelligence. For the projects that require a database, natural language processing, and symbolic reasoning, Prolog is the best bet! It is the perfect language support for research when it comes to artificial intelligence.
Used for automated planning, theorem proving, expert and type systems, Prolog still has limited usage. However, it is used to build some high-end NLP applications and by giants like IBM Watson.
Scala makes the coding process fast, easy, and much more productive. The index Scaladex that has the Scala libraries and resources helps developers create some quality applications.
It runs on the Java Virtual Machine (JVM) environment and helps developers program smart software. Scala is compatible with Java and JS and offers many features like pattern matching, high-performing functions, browser tools, and flexible interfaces. For AI development, Scala is one of the best options and it has impressed the developers in that area.
Everyone is looking for high-performance, fast, and safe software development, and Rust helps you achieve that! It is a general-purpose programming language that developers love to use for AI development. The syntax of Rust is similar to C++ but the former also offers memory safety and prevents garbage collection.
Rust works at the backend of many well-known systems like Dropbox, Yelp, Firefox, Azure, Polkadot, Cloudflare, npm, Discord, etc. The memory safety, speed, and ease of expression make Rust the perfect choice for AI development and scientific computing.
While Haskell comes with limited support, it is another good programming language you can try for AI development. It offers pure functionality and abstraction capabilities that make the language very flexible. However, the lack of support might delay the AI development process.
With Haskell, code reusability comes in handy for the developers along with other features like type system and memory management.
So, these were the top ten programming languages that are a suitable match for AI development. If you are leaning more towards AI in 2022, learning one or more of these languages will help you upgrade your skills!
About the Author: Harikrishna Kundariya is a marketer, developer, IoT, ChatBot & Blockchain savvy designer, co-founder, and Director of eSparkBiz Technologies. His 10+ years of experience enables him to provide digital solutions to new start-ups based on IoT and ChatBot.