Which programming languages do AI engineers use?
In the present ever-transforming world Artificial Intelligence has taken technology to the next level. It possesses a high potential to grow even beyond human intelligence. Globally, several organizations are adopting Ai as it enables them to solve urgent and most complex problems with a lot of ease and sets ambitious goals.
If one wants to excel in their Ai career and is interested in working on Ai related projects, then it is crucial to know about the most used programming languages. Because programming languages are powerful and intricate, they have become a most essential factor to keep up with the latest enhancements in the tech industry today.
There are many programming languages that are part of Ai engineer skills, and it is very difficult to say which is the best. In this article, let’s understand the most common programming languages for artificial intelligence that most of the Ai engineers use in their day-to-day tasks.
Top Programming Languages used by an Artificial Intelligence Engineer
Artificial Intelligence revolutionized the whole world with its remarkable innovations. If one wants to excel as an artificial intelligence engineer, then it crucial to know about the Ai and the programming languages that are used. A few of the most popular programming languages for Ai are:
- Lisp
- Java
- C++
- Python
- Silq
✅ Lisp
LISP is the among the oldest programming languages and it is also the second oldest programming language after FORTRAN. The word “Artificial Intelligence” was given by John McCarthy who also invented Lisp in the year 1950. It is considered an ancestor of Ai programming languages. If there was no Lisp, there would not be further advancements in artificial intelligence.
Lisp is quite efficient and easily adapts to the solutions that the developer is writing for. This unique feature makes it different from the other programming languages. Today Lisp is highly useful for machine learning and inductive logic problems. Lisp has strongly influenced in creating few other Ai programming languages such as R and Julia.
✅ Java
Java is the most widely used and highly popular programming language in the world today. It is also considered as among the most chosen programming languages especially for artificial intelligence. It is very easy to implement on several various platforms as there is a technology called Java Virtual Machine. Where most of the open-source big data stack is written in Java Virtual Machine.
A few significant benefits of using Java are:
- Very easy to use
- Quick debugging
- Portable and automatic memory management
- Ability to produce appealing graphics.
Java supports several libraries like Java Machine Learning Library. If an artificial intelligence engineer wants to implement the Ai with Java, then they are required to have knowledge of the basic concepts and algorithms. Java is considered as one of the most used programming languages.
✅ C++
Bjarne Stroustrup developed C++ in the year 1983. It has also been popularly known as the “the fastest programming language”, which is the main reason it is highly implemented for the development of desktop apps, computer games, and for search engines. For instance, Google Chrome is built on C++.
For Ai projects development, time is considered highly essential, that is the reason C++ is used because it consists of very less response time. It is also used to build complex products which include cloud systems, enterprise software, and banking software. If an individual wants to grow in their Ai career, then possessing a sound knowledge of C++ will be fruitful.
✅ Python
The most popular programming language for AI with rigid formatting is Python. It is widely used in all major organizations due to the presence of its scalability, flexibility, and simplicity. It possesses a very simple syntax and very little coding too. It also offers several different libraries that are always ready to use.
Python is also among the most demanded Ai engineer skills because it is open source and is available for any type of changes that developers believe needed. Python keeps evolving continuously, by creating its syntax easier and well-contributes to the efficiency. It is a platform-independent language with an appealing programming style. It is also considered as one of the professional programming languages that easily collaborate well with other Ai programming languages.
✅ Silq
Silq is the first high-level quantum computer programming language, which is specially developed around the construction and functionality of the hardware to extract the details from the low-level implementation of quantum algorithms.
According to computer science professor Martin Vechev and his team of developers at ETH Zurich’s Secure, Reliable and Intelligent Systems Lab, “Silq is the first quantum computing language possessing a strong-static kind of system that gives intuitive semantics.” This can be explained in simple words as, that if a program type-checks, and then its semantics follows an intuitive recipe that gives temporary values.
A few significant benefits of using Silq are:
- Algorithms are shorter, intuitive, more compact and easier to understand
- Transforms the program’s quantum state based on intuitive semantics
- Helps with the building of tools for analysis to support developers.
- Statically avoids the issues that are not detected in the existing languages.
Conclusion
An artificial intelligence engineer effectively communicates with computers through programming languages. With their help they build products and better Ai solutions for enhancing customer experience, resilience and reliability, increased efficiency and feasibility.
Know More: How To Become An Ai Engineer
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