AI is used in many applications today, from powering virtual assistants like Siri and Alexa to the more sophisticated tasks of operating self-driving cars and conducting predictive analytics.
The development of artificial general intelligence is expected to remain one of the field’s long-term goals in the foreseeable future. Some common approaches to achieving this goal include statistical methods, computational intelligence, etc.
The most common programming languages used in artificial intelligence are outlined below.
Table of Contents
1. Python
Python is the most widely used programming language for artificial intelligence. At the same time, it is currently one of the trendiest languages and is also quite simple to learn and apply.
Python is a general-purpose programming language and is used for rapid application development. Now only that, the programmers use it as a glue language that brings existing components together.
2. R
Why it is important to know about R? It provides a free software environment, and you can use that for statistical computing and graphics.
The R programming language has become something of a lingua franca among statisticians due to its widespread application in official statistics and data mining, the creation of statistical software, and data analysis. Research conducted through polls and analyses of academic literature databases indicates that R has an active user base of approximately two million people worldwide.
3. Julia
In Julia, the syntax is similar to that of existing technical computing environments. Therefore, it is accessible to users who are already proficient in such settings. It is used for technical computing and was released in 2012. Some key features of Julia include:
- Dynamic, just-in-time (JIT) compilation
- Automatic memory management
- Built-in support for parallel and distributed computing
- A rich set of built-in types and libraries
- Support for user-defined types, including a flexible type hierarchy
- Interoperability with other languages, including C, Python, and R
- A package manager for easy installation of external libraries and modules
- An active and growing community of users and developers.
Julia is designed to be fast. At the same time, it is pretty easy to use, and it has become popular in scientific computing, machine learning, data science, and other technical fields.
Conclusion
The development of AI has already taken place. And as it alters how we live and engage with the world and one another, it is also generating new opportunities for both individuals and corporations.
Regarding information technology, there is no silver bullet or solution that is universally applicable. When selecting a programming language for AI, you will need to conduct some preliminary research and consider the possibility of switching languages depending on various factors, including the task at hand, the platform you and your team are utilizing, and your level of expertise.
