The origins of Artificial Intelligence (AI) go back a long time. Therefore, it can be said that this is not an innovation in 2022. We have seen, used and familiarized with this field of technology and it is improving day by day.
That said, today businesses and individuals are leaning more towards the evolution of AI. With benefits like improved customer experience, smart decision making, automation, error reduction, and data analytics, developing AI seems like a perfect choice. However, after making this choice, you have to make another difficult decision: choose a programming language for AI development. While there are many languages that will get the job done, you need to know which one will be right for your project. To make your decision easier, we have compiled a list of the ten best programming languages for AI development. Let’s check it out:
1.Java
Oracle’s Java is one of the best programming languages available in the market. 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 achieve scalable applications.
For AI development, Java provides ease of use, debugging, and simplification of large-scale projects. You can represent data in the form of graphs and provide better user interaction. Java’s virtual machine technology helps developers create a single instance of an application that they can run on other Java-based platforms. Developers can also work on graphics and interfaces, making them more appealing with the Standard Widget Toolkit. Overall, Java helps you maintain, transform, and secure AI applications.
2. Python:
Another language on the list is Python, the programming language that offers the least amount of code out of all the others. There are many reasons why we need to hire developers to help develop AI. These reasons include:
Built-in libraries for advanced computing such as NumPy, SciPy, and PyBrain.
The open source language is supported by developers worldwide. There are many Python forums and tutorials where you can ask for help.
Advantages of Python Machine Learning. Python is a flexible and independent language compatible with several platforms with minimal modification.
There are options like scripts, OOP and IDE approaches that allow rapid development with a variety of algorithms.
With all these features and more, Python has become one of the best languages for AI development.
3. AI Development
Just like Java, JavaScript is also an ideal complement to AI development. However, it is used to develop more dynamic and secure websites. While Python is for developers who don’t like to code, JavaScript is for people who don’t like to code.
JavaScript’s artificial intelligence capabilities make it interoperable and work seamlessly with other source codes like HTML and CSS. Like Java, JavaScript also has a large community of developers supporting the development process. With libraries like jQuery, React.js, and Underscore.js, AI development becomes more efficient. From multimedia, buttons to data storage, you can manage frontend and backend functions with JavaScript.
With JavaScript, you can ensure security, high performance, and reduce development time.
4. Julia:
Although Julia doesn’t have a huge community or support, it offers a lot of premium features for top notch AI development. When it comes to data processing and numerical analysis, Julia is the best development tool. If you need to create a dynamic interface, eye-catching charts and data visualizations, Julia will give you the right tools to do it perfectly. With features like debugging, memory management, and meta programming, the language makes AI development easy.
For machine learning AI projects, Julia is the best choice. It comes with many packages like Meta head, MLJ.JL, Turing Jl and Flux Jl.
