5 Best Programming Languages for Artificial Intelligence

An Introduction to Artificial Intelligence & Why It Has Unique Programming Needs

Artificial intelligence, also known as AI, is the hot technology right now and it is one that will only further permeate all aspects of our lives. Though AI is not new, there has been a recent expansion in machine learning and AI technologies.  The fullest potential of AI is not yet known, even by the most technologically advanced thought leaders. And, that is why now is the time to get informed, learn about new technology, and acquire the skills necessary to program for such complex projects.

For software developers, this is particularly true and a reality that should not just be accepted but anticipated with education and training. To be best prepared for the growth of IoT and that further fuels the growth of AI, programmers may need to learn new programming languages if they want to be ready and proficient in ideal artificial intelligence programming languages.  Whether you are an experienced coder or an aspiring AI programmer, learning a new programming language can be challenging and time-consuming. So, it is ideal to focus on the best programming languages for artificial intelligence.

5 Best Programming Languages for Artificial Intelligence

  1. Python

    • Python is one of the most popular languages among software programmers because it is easy to learn, has a simple syntax which makes it easy to read, and it runs on almost any system. Compared to C++ and Java, it is much less complex. Programming AI is complex and time-consuming so anything that makes the process easier and allows for faster development is always a win!  But, one of the other reasons Python is great for AI programming is that it is ideally suited to Big Data – which most of AI consists of. AI has a lot of algorithms; thus, it has a LOT of data.  Python has a massive number of pre-existing libraries which makes development of large amounts of data far quicker.
  2. C++

    • C++ is well-known for being one of the fastest programming languages, but it is also a very difficult language to learn. If you are using C++ for AI development, you are likely a very experienced developer or have taken the time to acquire an in-depth understanding of C++. Because coders that use C++ can achieve faster project completions and get products to market more quickly, it is an extremely useful programming tool for AI.  Beyond basic AI, C++ is also an ideal tool for statistical AI techniques, such as neural networks. When C++ is used for AI programming, it almost always leads to faster execution and response time.
  3. Java

    • Java is one of the most commonly used programming languages. And, when it comes to AI, Java continues to be favored by many. One reason Java is so popular and appeals to programmers and consumers alike is that it enables superior data security. TechTarget elaborates on how Java has more robust security features than, say, C++, “Java is designed to provide several inherent security features from ground-up and at all levels from the Java language constructs to the Java runtime environment and from the class libraries to the complete application.”
  4. LISP

    • LISP is one of the oldest programming languages in existence (the second oldest, to be exact) and yet, it continues to evolve and adapt, retaining its popularity still today. It is a good software language for solving problems and is therefore ideally suited to anything related to machine learning. Medium explains why LISP is, at its foundation, tied to AI and why it works so well for coding AI, “The progress, development, and evolution of Lisp was tightly related to the early progress, development, and evolution of Artificial Intelligence…John McCarthy, the creator of Lisp, coined the term Artificial Intelligence, while Marvin Minsky shaped the content of the new field by founding the AI lab at MIT. Many of their students were the developers of the first digital milestones of artificial intelligence…Programs for natural language understanding and generation, game playing…, theorem proving, early computer vision, symbolic mathematics (especially integration), problem-solving and knowledge representation, were produced at Stanford and MIT using different dialects of Lisp as a tool to express those ideas in…One of Lisp’s main virtues, is that it enables a programmer to create new linguistic abstractions with ease. So, there should be no surprise in the fact that Lisp has influenced many popular programming languages.”
  5. Prolog

    • Prolog is another programming language that has been around for a long time and has a robust programming framework that uses logic and semantic inference. While it is less ‘buzzy’ than the other AI programming languages previously referenced, it is a very good option for software developers programming AI. It is a declarative programming language which means that everything in the artificial intelligence coding language is dictated by rules and facts. It supports many things that are popular with software developers such as automatic backtracking, tree-based data structuring, pattern matching and more. While it has a flexible structure that is appealing to coders, it is important to note that it is, comparatively, a very difficult language to learn.

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