Perl language is not commonly used programming language for AI.
The correct answer to the question “Which is not commonly used programming language for AI?” would depend on the context and the timeframe in which the question is asked. As of my last update in January 2022, Python is by far the most commonly used programming language for AI due to its simplicity, versatility, and the availability of numerous libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn.
If we consider less commonly used languages for AI, it might include languages that are not as widely adopted or specifically designed for AI development. Some examples might include:
- Assembly language: While it can be used for low-level optimization in AI, it’s not commonly used due to its complexity and lack of abstraction compared to higher-level languages like Python.
- COBOL: Although COBOL is still used in legacy systems, it’s not commonly associated with AI development due to its age and lack of modern AI libraries and frameworks.
- Fortran: While it’s still used in some scientific computing applications, it’s not as commonly used for AI compared to languages like Python, R, or even C++.
- Pascal: Pascal was once popular for teaching programming but is not commonly used in AI development compared to more modern languages like Python or Java.
- Lisp: Lisp has a rich history in AI, particularly in the early days, but it’s not as commonly used today compared to languages like Python or even R.
Remember, the “correct” answer may vary depending on the specific criteria and context provided in the interview question. It’s essential to justify your answer and provide reasoning behind why a particular language may not be commonly used for AI.