Artificial Intelligence (AI) is becoming more pronounced than ever in our everyday lives. It is rapidly expanding across a wide range of industries, including marketing, e-commerce, education, travel, retail, and even hospitality. Software engineering colleges in Jaipur have started offering dedicated BTech in Computer Science & Artificial Intelligence degree courses.
The selection of the appropriate programming language for AI is crucial for creating user-friendly AI systems that provide an ethereal experience. It is similar to selecting a top-rated software engineering college in Jaipur – requires research and precision.
Programming languages come in wide varieties, each with advantages and weaknesses. Depending on individual needs, you can choose which programming language to utilize for your AI project.
Some AI programming languages are particularly strong at processing vast amounts of data and calculating enormous numbers, while others are very strong at programming in plain language. You may choose the best language for your project by being aware of its advantages and limitations.
Given the exponential growth of AI in the last few years and its anticipated demand in the IT industry, Anand International College of Engineering (ANAND-ICE) has introduced B. Tech. – Engineering and Computer Science (Artificial Intelligence) course.
Artificial Intelligence is a subcategory of Computer Science that aims to develop intelligent machines that work like humans and mimic intelligent behavior.
Top 7 Programming Languages for AI Engineering Aspirants
Below are the top 7 programming languages that you can learn this year for AI development projects.
- Python
All other languages can be regarded as having their roots in Python. The simple syntax of the Python language is the root of its meteoric popularity. Because of its simple syntax, Python is an excellent choice for machine learning procedures because it will give you a lot more time to prepare the basic structure.
It is a very powerful programming language for AI development thanks to its straightforward syntax, extensive library selection, vibrant community, and clear code. Developers choose it because the uncomplicated syntax and plethora of libraries take care of the intricacies of coding, allowing them to concentrate on crucial areas of development, including innovation, problem-solving, and design thinking.
- R
R will undoubtedly come to mind when you think of statistical programming procedures. Statisticians developed it specifically to perform calculations and swiftly process huge data sets. Today, R is a potent language used for artificial intelligence applications that require considerable computing or data analysis, such as machine learning programming applications.
R comes with user-made packages that contain graphic elements, utilities, import/export options, statistical methods, etc. The language makes it simple for developers to work on deep learning moderns because of built-in graphic and data modeling capabilities, hence it is recommended for Computer Engineering and AI engineering aspirants to learn R language in their college days. Learning libraries like MXNet, TensorFlow, Keras, etc., are also supported.
- LISP
Most of the advancements in the AI landscape is due to LISP. It is the oldest language still in use for AI procedures and the second-oldest language overall. LISP has long been recognised as a tool for leading AI enterprises due to its extended scope for turning concepts into reality.
It is one of the most adaptable programming languages, supporting symbolic expressions, rapid prototyping, dynamic object creation, and automatic garbage collection.
- Prolog
You are introduced to a unique world created entirely by logic when using Prolog. Prolog, which stands for “Programming in Logic,” provides a unique approach to an AI solution. Three crucial components are needed from your end for Prolog: rules, facts, and the desired outcome. When you give the programming language all of these specifications, it will establish a connection between the three and create an AI solution.
Prolog is a top AI programming language because of its powerful pattern matching, metalevel reasoning, and tree-based data structuring capabilities, to name just a few. Pattern matching properties are essential in natural language processing, computer vision, and intelligent database search.
- Julia
Julia is a relatively new AI programming language created by MIT in 2012 and intended to handle big data sets and vast numerical analysis with ease. Julia was created by MIT engineers while taking into account all the criteria for contemporary AI development. It offers exceptional speed, strong computational power, simple syntax akin to scripts, and much more, assisting programmers in creating the best AI programming.
Julia gives you the necessary capabilities for flawless execution if you need to create a dynamic interface, eye-catching graphics, or data visualizations. This language makes developing AI simple because of its debugging, memory management, and metaprogramming features.
- Java
In 2022, Java, one of the world’s most widely used programming languages, will be one of the best languages for creating AI, thanks to its unique properties. The object-oriented programming language Java has a simple syntax and easy debugging. Java’s track record of success in software development, mobile app development, and now even AI development helps it win popularity with developers with each new generation.
Java’s Virtual Machine Technology makes it extremely simple to implement on a wide range of platforms. This means that once an AI application has been written and compiled on one platform, it can be easily run on other platforms using the write once, run anywhere methodology. As a result, most open-source big-data stacks are written in Java Virtual Machine and most software engineering colleges in Jaipur encourage students to learn it for better job opportunities.
- C++
Processing speed is one of the main benefits of using C++ as your AI development language. When thinking about AI processes, you talk about sophisticated automated systems that operate effectively. And C++ won’t let you down in that regard.
Although C++ does have a slightly steeper learning curve than other AI programming languages, which can be frustrating for beginners, once you get over the learning stage, C++ has some special benefits for developing Artificial Intelligence.
There are several incredibly helpful features in C++. It creates short code and is to the point, enabling very effective module operation. Since it is a statically typed language, runtime type errors don’t occur. C++ is a highly favored AI programming language since it provides dynamic load balancing, adaptive caching, memory management, and many other capabilities.
Concluding thoughts
The finest programming languages for Artificial Intelligence projects are those that are covered above. It just comes down to selecting a program that best meets your needs. With a basic grasp of the project, you may quickly select the best language and increase your operational productivity.
Engineering aspirants looking to learn these languages to develop AI-powered systems must get admission in the best software engineering colleges that have specialised courses in Computer Science Engineering (Artificial Intelligence). So give a shot at Anand-ICE which has a strong infrastructure for learning in the areas of Robotics, Data Analysis, Intelligent systems, Natural Language Processing, and much more.
