AI programming languages help to implement a number of complex AI/ML projects seamlessly. Keep reading the blog to learn more about 5 best languages for AI.
The creation of AI implementations has made it easier to make new tools & solve critical problems in a new way. Artificial Intelligence is important to develop new computer systems and programs, which are used for simulating multiple intelligence processes such as reasoning, learning, etc. Since the last decades, we, Sphinx Solutions, notice that developers rely on a number of AI programming languages to implement an AI-based solution. In this blog, we are going to discuss the top 5 programming languages that take AI Development to another level.
1. Python
Python is one of the best AI programming languages for novice and experienced developers. Nowadays, this is extensively used for multiple AI-focused applications. Python is a high-level, general-purpose, and interpreted language that has dynamic semantics. It comes with built-in data structures integrated with dynamic binding and typing. All of them make Python very ideal for RAD or rapid application development. Moreover, it can also be used as a scripting language for connecting existing components. Key features of Python include:
Easy to learn: The syntax of Python is a highly flexible programming language. It comes with a number of simple features. Because of this advantage, many analysts and data scientists can easily work with python in an artificial intelligence project.
Well-integrated: Several artificial intelligence platforms, frameworks, and libraries have been built in Python and are also available as open-source projects.
Well-documented: Another major advantage of Python is that it’s a well-documented programming language. It has several projects, tutorials & online boot camps. As a result, you can easily use this language to implement several artificial intelligence projects.
Easy to read: As the best programming language, Python always produces highly readable and short code, especially compared to other programming languages for Artificial Intelligence.
Platform-independent: Python is a very platform-independent programming language. It virtually runs on any platform, from Unix to Windows. You do not have to be compiled because this language is completely interpreted.
Superior visualization tools: Python has a wide selection of data visualization tools which is important to AI development. Data scientists or developers can build human-readable and attractive charts with libraries.
2. R
When you are thinking about statistical programming processes, R can be the best option. This is a popular open-source programming language widely used for artificial intelligence applications. The high efficiency and superior performance make this language different from others. Moreover, it also integrates well with other languages. Some packages of R specially designed for AI include
- gmodels: It offers multiple tools for model fitting
- TM: This is used in text-mining applications
- RODBC: It’s an ODBC interface
- OneR: Used for implementing the One Rule classification algorithm
Key features of the R language include:
- An open-source and the best language for AI programming
- Offers an interactive and strong graphics capability to users
- It allows you to perform critical statistical calculations
- Widely used in AI/ML due to its top-notch capabilities
3. Java
Java is one of the popular server-side programming languages for artificial intelligence. Just like Python, Java is platform-independent & it can be implemented on several platforms. As a scalable and object-oriented language, it enables virtual machine technology to build a single app version and support businesses. Moreover, Java helps AI developers with several benefits, including quick debugging, maintainability, usability, etc. Key features of Java include:
- High portability
- Easy debugging
- Cross-platform
- Easy algorithms
- Easy to use and learn
- Simplified work with complex projects
- Built-in garbage collector
- Standard and swing widget toolkit
- Good user interaction
4. C++
C++ is one of the oldest and most well-recognised programming languages that offer better handling for artificial intelligence and RPA solutions. This programming language is widely used in AI projects for its excellent processing speed. Moreover, the low-level programming capacity of C++ makes it ideal for managing AI models in production. With C++, you can easily develop neural networks from scratch & translate user code. In addition, this language offers a budget-friendly AI solution that fits perfectly your project requirements as compared to other programming languages. Key features of C++ include:
- Fastest processing speed
- Can be used in statistical methods
- Can be used with machine learning algorithms for quick execution
- Many libraries are available for AI and Machine learning
- User-friendly & simple programming language
5. JavaScript
JavaScript is known for its versatility. It has several high-level libraries and tools for machine learning projects. One of the good examples is TensorFlow.js, which directly runs within a browser & also opens up a number of possibilities for developers. This means it allows making new models of machine learning, training ready models, and running old models in a browser. Key features of JavaScript include:
- High versatility
- Built-in security
- Faster programming language than Python
- Modern JS compiled into machine code.
- It uses hardware acceleration
Final words
Implementing an AI-based project is a huge task. However, it’s difficult to choose the best AI languages for artificial intelligence programming. They have multiple sets of features and advantages. You have to choose the perfect one based on your project requirements. If you are highly interested in artificial intelligence programming but not sure where to get started, get in touch with Sphinx Solutions. With AI development solutions, we assist enterprises to automate their multiple business operations & effectively overcome complex challenges.
