5 Popular Programming Languages For Artificial Intelligence Projects

People have finally arrived at a point where Artificial Intelligence (AI) and Machine Learning (ML) are no longer considered difficult to understand or implement into the business. On the contrary, they have turned out to be smart and efficient. Many businesses are adopting AI and ML technology to solve their problems.

AI and ML have now become an integral part of our daily lives. With the boost in recent years, both technologies have come a long way to help businesses grow and achieve their goals in full potential. Adopting AI into your business operations can increase agility, efficiency and reduce costs.

AI has the potential to replicate human intelligence in the future. It is a potential business developer and many want to understand this technology and adapt it to their businesses. These advancements would not have been possible without the core improvements in the programming languages. To efficiently build an AI system, one should know at least one programming language. Here are the best programming languages that you can choose from to understand and develop an AI system.

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Well, there is no best programming language for AI, each is good when it fits the best. This blog post will give a brief overview of AI programming languages and won’t go too far into technical details. Just enough for you to feel confident to choose your AI development partner.

Python
Python is arguably the most popular and effective programming language when it comes to developing applications for machine learning, NLP, and neural network connections. Python has established itself as the most popular programming language among AI developers. The code in Python is simple, concise, and readable, making coding more fun since thousands of AI/ML algorithms can be executed with the help of a huge library such as Keras, Pytorch, Scikit-learn, MXNet, Pybrain, and TensorFlow.

Python is used by many big companies across the world such as Google, Amazon, Facebook, Instagram, Reddit, Intel, IBM, Netflix, Pinterest, and many more.

Key features of Python

• It is easy to use – uses simple syntax
• Interpreted and cross-platform
• Free and open-source, so developers can access any language stack.
• Object-oriented paradigm
• GUI programming support – the active Python community created many ready-made libraries.
• Dynamic memory allocation – can be adapted to almost any operating system.

Java
Java has been one of the most consistently used programming languages among developers for many years. It is a high-level, class-based, and object-oriented programming language. It’s Write Once Run Anywhere (WORA) ability made Java be one of the first languages to build platform-independent programs. Java provides ease of use, flexibility, and support. It isn’t as fast as other programming languages, but it works well with AI applications.

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Java is an open-source programming language and is supported by numerous libraries. It is not only suitable for artificial intelligence and machine learning, but also for projects that involve sensors, NLP, remote systems, and neural networks. Java’s popular AI libraries and frameworks include Apache OpenNLP, Neuroph, Deep Java Library, Java Machine Learning Library, MLlib, and much more. Java is used by many tech giants such as Google, Netflix, Uber, Airbnb, Spotify, Amazon, Slack, and more.

Key features of Java

• Simple and easy to use
• Object-oriented language.
• Platform independent
• Secured and robust
• Architecture neutral
• Interpreted language
• Multithreaded
• Community support
• Runtime code modification
• High security

C++
C++ is known as the fastest programming language among AI developers and is generally used to build computer games, search engine development, and desktop applications. C++ is also predominantly a tool for building complex products such as cloud systems, banking software, e-learning applications, and enterprise software.

C++ as an AI programming language has libraries available for machine learning and neural networks that facilitate the faster execution of complex algorithms. In a nutshell, many developers prefer AI language, particularly C++, for building apps that require high productivity applications, graphic-centric applications, faster calculations, and embedded devices. C++ is used by companies like Google, Walmart, Lyft, Accenture, Twitch, Telegram, and many others.

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Key features of C++ that make it good for AI development are:

• Efficient memory access
• High performance
• System programming

Prolog
Prolog stands for Programming in Logic or logical programming is one of the oldest programming languages. It is primarily used for AI and computational linguistics. Prolog is a powerful declarative programming language, which means that the program logic is framed through relations between three elements like facts, rules, and goals. It is particularly useful for symbolic reasoning, language praising applications, databases, and natural language processing. These features provide a remarkably strong and versatile structure for AI programming. Prolog is the best programming language for developing chatbots, voice assistants, and graphical user interfaces (GUI).

Key features of Prolog

• Declarative language
• Uses the language of predicate calculus
• It manages lists and recursion naturally
• Fully object-oriented language.
• Pattern matching and unification
• It supports direct linkage with C/C++
• Built-in mechanisms for inference
• Extensibility

Lisp
Lisp was the first language that was particularly developed for AI and also one of the second oldest high-level programming languages after Fortran. Lisp is highly capable of self-learning, self-modifying programs and is quite flexible too. This AI programming language is very efficient and allows for the fast execution of programs. When compared to Java or C++, Lisp AI applications are faster to develop, smaller, execute more quickly, and also easier to maintain.

Many core features that made Lisp a better option for AI programming have migrated to other languages. The developer community gives Lisp proper credit since it represents the origins of artificial intelligence programming languages.

Key features of Lisp

• Machine-independent
• An iterative design methodology
• Provides high level debugging
• Object-oriented language
• Expression-based
• Provides a complete I/O library
• Efficiency
• Speed
• Maintainability

Final Thoughts
There are several programming languages for AI development to choose from, depending on how easy or technical you want your process to be. Another factor to consider is what system works best for the software you are designing. With a basic understanding of the project, you can simply choose the most suitable language and enhance the productivity of your company.

One way to tackle the question is by looking at the popular apps already around. What do they do? How do their basic or interactive functions work? What languages do they use? The more you find out, the more ideas you’ll get. Let us know your preferred AI programming language in the comment section below.

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