AI development has become a new buzz in the market. And it would help if you have clarification about choosing the right one, as there are many programming languages. So we will help you pick the correct language to help you grow in your field.
This article has mentioned the major programming languages and identified those with the best-suited AI development. As you read the article, remember AI is an innovation that will get smarter with time.
Our Top 5 Recommendations⬇️
|Programming Languages for AI
|Object-oriented Programming Language (OOP)
|Versatility, Efficiency & Fast
|Solving two-language problem
|Declarative programming language
|Fusion of OOP & Functional programming
7 Best Programming Languages for AI Development in February, 2024
Below are the top 7 Best programming languages for AI development in our list. We have explained each programming language with its features and its usage. To dive into more programming languages, we need to start with each language-
Java is a popular programming language used widely in developing high-level applications and is known for its portability, reliability, and security, making it one of the best choices for AI development.
Designed by James Gosling, Java is a general-purpose, object-oriented programming language designed to be simple and easy to learn. It first appeared on 23rd May 1995.
It is a high-level language, meaning it is easier to read and write than low-level languages such as C and C++.
One of the main characteristics of Java is that it is platform-independent. This makes Java one of the perfect choices for building applications that need to be deployed on multiple platforms.
There are mainly 4 different Java types which are named as follows:
In the field of AI, Java is often used in the development of enterprise-level AI systems due to its reliability, security, and portability. It is also commonly used in the development of Android apps that incorporate AI features, such as voice recognition and natural language processing.
Python is a popular programming language designed by Guido van Rossum and widely used in AI. It is a high-level, general-purpose language that is known for its intelligibility and legibility, making it an excellent choice for beginners and advanced users.
Python was inaugurated on 20th February 1991, and since then it has gained a large and active community, meaning that there are many libraries and frameworks available for use in AI projects. Some popular Python libraries for AI include TensorFlow, PyTorch, and sci-kit-learn.
In addition to these libraries, there are many other tools and frameworks available for AI development in Python, such as OpenCV for computer vision, and NLTK for natural language processing.
First, it is a dynamically typed language, meaning that the type of a variable is determined at runtime rather than compile time. This makes it easier to write code that is flexible and can handle a wide variety of data types.
Julia is a high-level, high-performance programming language used for technical computing, with user-friendly technical computing environments.
It was specifically designed and developed by Alan Edelman, Jeff Bezanson, Stefan Karpinski, and Viral B. Shah to be used for numerical and scientific computing and has several features that make it well-suited for these types of applications.
Julia came into existence in 2012. It is designed to be as fast as C and Fortran while still being easy to use and read. Julia accomplishes this by compiling code to machine language at runtime, using JIT compilation.
Julia comprises several libraries and packages, making building applications in a wider range of areas easy. These libraries incorporate tools for machine learning, data visualization, working with large datasets, etc.
Lisp is a programming language that was first developed in 1960 and designed by John McCarthy; known for its use of S-expressions, which are kinds of nested list structures used to represent code and data. Lisp is more abstract and accessible for normal users to read and write than low-level languages like machine code.
The main characteristic of Lisp is that its code and data have the exact representation permitting code to be treated as data making it easier to write programs that can manipulate and generate other programs.
Lisp is also a dynamically-typed language, meaning that the type of a variable is determined at runtime rather than compile time.
Lisp has been influential in the field of artificial intelligence (AI) and has been used to build several AI applications over the years. It is particularly well-suited for building expert systems and other kinds of AI programs that involve a lot of symbolic processing.
Prolog is a programming language particularly well-suited for building artificial intelligence (AI) applications. It is a logic programming language.
Prolog is well-known for its operation in building specialized systems, which are programs that evolve to mimic an individual expert’s decision-making capabilities in a particular domain.
Specialist systems built with Prolog can make decisions and facilitate recommendations based on a set of rules and a knowledge base encoded in the program.
Prolog is also frequently used for NLP tasks, such as language translation and text analysis. It is especially well-suited for these types of tasks because of its ability to manipulate symbolic data and built-in support for tree-based data structures.
Scala is a programming language designed by Martin Odersky to be scalable, flexible, and easy to use. It is a statically-typed language, which means that the type of a variable must be declared when the variable is created, and that type cannot change.
This can make Scala code easier to debug and maintain because it catches certain kinds of errors during compile time rather than during runtime.
Scala was designed to be an improvement on the Java programming language which first appeared on 20th January 2004, and it is fully interoperable with Java.
This means that Scala code can call Java code and vice versa, making it easy to use Scala in projects that have existing Java code. Scala also uses Apache 2.0 license.
Scala facilitates its users with features such as:
FAQs – Best Programming Languages for AI in February, 2024
Which language is best for AI development?
The choice of the best Programming Languages for AI depends on various factors, such as the goals of the project, the expertise of the team, and the available resources.
Relating to this, we present some of the best picks in the AI industry:
Which one is used in AI Gaming?
Java is used in AI gaming because of its cross-platform support, rich set of libraries and frameworks, strong type-checking, good performance, and popularity in the industry.
Is JAVA better than Python?
Python is a good choice for beginners, as it’s effectively easy to learn and has a variety of active communities, while Java is more suitable for larger, enterprise-level projects.
Why is Python so famous?
Python is extremely famous as :
- It is easy to use.
- It is versatile.
- It has a large and active community.
- Excellent support for scientific computing.
Which language is used in Robotics?
These are some of the best programming languages for AI that are commonly used in robotics:
Conclusion – Best Programming Languages for AI in February, 2024
After thoroughly reviewing various programming languages used in AI, our team concludes that Python is the superlative programming language for AI as it is easy to learn and has a large community of developers.
If you are thinking to learn how to program for AI we suggest you use Python because of its advantages for beginner and experienced users.
Feel free to drop your queries!