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6 High Level Programming Languages for AI Development

If your company is considering implementing Artificial Intelligence as a possibility, there are some High Level Programming Languages that you ought to be thinking about including in your toolkit for developers.

Artificial intelligence is on everyone’s minds, especially for businesses that want to increase the growth rate beyond what they’ve achieved. With AI, you can reduce time and costs in automating and optimizing commonly routine tasks. When AI is implemented, these tasks can certainly be completed faster and with greater accuracy and reliability than could be accomplished by a human.

In addition, AI is exponentially faster in making business-related decisions that are based on inputs from various sources (such as customer feedback or data collected). AI can be used as chatbots, both in web and mobile apps as well as in analytic tools to find patterns that will help improve solutions for any particular procedure, and so on. In reality, there’s little AI can’t do to boost.

To implement artificial intelligence into your business’s products and services, you’re going to require software engineers who can handle the job. Additionally, these developers are likely to require knowledge of the most effective High Level Programming Languages to implement AI.

What are the High Level Programming Languages that are used? There are a variety of languages that could help you enable your AI integration goals to come true. Let’s get started and take an overview of the top software High Level Programming Languages to use for Artificial Intelligence.

1. Python is one of the High Level Programming Languages

While Python was developed before AI was a necessity for businesses, It’s still among the top well-known High Level Programming Languages used in Artificial Intelligence. Python is among the best commonly used languages used for Machine Learning (which lives under the umbrella of AI). One of the major factors Python is so popular in AI development is the fact that it was developed to be a highly effective analytics tool and has been widely used in the big data field.

For the latest technology, the main reason Python is always at the top is the fact that there are AI-specific frameworks designed specifically to work with the language. One of the most well-known is TensorFlow that is an open-source software library designed specifically for machine learning and can be used to train and the inference process of deep neural networks. Other AI-focused frameworks include:

scikit-learn is a machine learning tool for training models of learning.

PyTorch is the visual and natural processing of High Level Programming Languages.

Keras is used as an interface for code to perform complicated mathematical calculations.

Theano is a library that allows for the definition of optimization, defining mathematical expressions, and for evaluating them.

Python is also among the most simple High Level Programming Languages to learn and to use.

2. Lisp Programming Language

Lisp was developed in the 60s and was extensively used in research in natural language,  theorem proofs, and tackling AI-related problems. It was initially designed to be a mathematical notation that could be used for programming, but it eventually was a popular choice for researchers in the area of AI.

Although Lisp is the second-oldest programming language that is still being used, it has many aspects that are crucial to the success of AI projects:

  • Rapid prototyping.
  • Create dynamic objects.
  • Obligatory garbage collection.
  • Data structures can be executed as programs.
  • Data can alter the program.
  • Recursion is used to control structure, not an iteration.
  • Fantastic symbolic processing capabilities for information.
  • Read-Eval Print-Loop for interactive programming.
  • In addition, the person who invented Lisp (John McCarthy) was a major influencer in AI and AI, which is why a lot of his ideas were applied for a considerable period.

High Level Programming Languages

3. Java Programming Language

It is a given that Java is a crucial programming language used for AI. One reason for this is the fact that the language is used in the development of mobile apps. In addition, considering the number of mobile apps taking advantage of AI, this is a great combination.

Not only does Java be used with TensorFlow However, but it also comes with other frameworks and libraries that are specifically made specifically for AI:

  • Deep Java Library – a library created by Amazon to develop deep learning capabilities.
  • Kubeflow is a way to manage and deploy Machine Learning stacks on Kubernetes.
  • OpenNLP is A Machine Learning tool for processing natural language.
  • Java Machine Learning Library – offers a variety of Machine Learning algorithms.
  • Neuroph is a method that allows you to create neural networks.
  • Java also uses simple debugging, and its user-friendly syntax allows graphic data presentation, and it incorporates both WORA and Patterns that are Object-Oriented.

4. C++ Programming Language

C++ is another language that’s been in use for a while; however, it’s still an acceptable choice to be used in AI use. One of the main reasons for this is how adaptable the language is, which is why it’s perfect to use in applications that require a lot of resources. C++ is a low-level language that offers greater control over AI models in production. Although C++ might not be the first language of choice to AI experts, it shouldn’t be denied that many of the machine and deep learning library programs are developed in C++.

Because C++ converts user codes into machine-readable, it’s extremely efficient and efficient.

5.  R   Programming Language

R may not be the ideal language for AI; however, it’s a beast in the process of crunching huge numbers, which makes it more efficient than Python in terms of scale. With R’s built-in functional programming and vectorial computing, and Object-Oriented Nature, it’s an acceptable language to use for Artificial Intelligence.

R also comes with a variety of programs specifically made for AI:

  • GModels is a suite of tools for modelling.
  • The framework TM is is used to create applications for text mining.
  • RODBC is the ODBC interface.
  • OneR allows you to apply one rule machine learning algorithm. One Rule Machine Learning classification algorithm.

High Level Programming Languages

6. Julia High Level Programming Languages

Julia is among the more recent High Level Programming Languages that are on the list. It was developed to target high-performance computing in technical and scientific areas. Julia contains several aspects that are directly applicable specifically to AI programming:

  • Common numeric types of data.
  • The value of arbitrarily precise.
  • Effective mathematical functions.
  • Tuples, dictionary, along with code-introspection.
  • Package manager built-in.
  • The dynamic type systems.
  • Ability to work in both distributed and parallel computing.
  • Metaprogramming and Macros.
  • Support for multiple dispatches.
  • The support for functions in C.
  • Julia can integrate with TensorFlow.jl, MLBase.jl, and MXNet.jl.


If your business requires the use to the use of Artificial Intelligence, you need to start the process of infusing one or more of these High-Level Programming Languages. With the right team of developers, there’s no limit to what AI can do to grow your business.

I hope this article “High-Level Programming Languages “will be very helpful to you. Share this article.

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Asad Rafique
Asad Rafique
As a website developer, my primary aim is to develop such websites that not only look good but also sell to generate business leads for my customers. I have years of experience in multiple website-related services like ✓ Website Design and Development ✓ API Integrations ✓ Laraval - Dashboard Development ✓ Mobile Responsive Website Development Including tailored services to meet my clients' requirements. The thing which makes me different from the rest is that I work for my client satisfaction rather than earning big profits.

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