AI development or developing Artificial Intelligence is paving the way for frequent transformations in our living, work, and interaction with technologies. AI is an indispensable part of everyone’s lives. From virtual assistants to self-driving cars, AI has come a long way.
But have you ever thought about how these AI are developed? Yes, they require programming languages of ai used by developers for their development. Different programming languages work perfectly for different types of projects.
Selecting one of the best programming languages is way too important and is achieved only by the desired results and career goals. And, all of this stands for Artificial Intelligence (AI) programming. So buckle up, and let’s dive into the world of top AI programming languages.
AI Development and its Role
Artificial Intelligence or AI deals with intelligent devices and systems. AI is a branch of computer science that has the goal of creating computers that can think like humans. This will give them the ability to learn from experiences which will ultimately help them to solve any problems in a creative and precise manner.
AI development with the help of programming languages permits every machine to bring about tasks that generally require human intelligence. Artificial Intelligence software is used for a number of apps that copy human behaviour. For instance, language translations, and problem-solving.
You won’t have realized but you are way too familiar with best Artificial intelligence programming language. From autonomous vehicles to personalized and customized shopping, AI has come a long way. AI plays a dominant role in multiple aspects of our life. These roles are mentioned below:
» In healthcare: In order to predict diagnoses, treatment results, and life expectancy, doctors use AI tools.
» In banking: Banks use AI in order to detect spam or fraud.
» In military and defence: In order to predict cyber attacks and other national security susceptibility, military and defence use AI tools.
In this era of digital transformations, you will surely perceive AI popping up in multiple scenarios that are working together with humans and providing dynamic solutions to everyday problems.
Benefits of AI Development
AI or Artificial Intelligence is propelling the boundaries of machine-enabled functionalities. AI clears the way for creating the next-gen workplace that develops smooth and hassle-free collaboration between industries and individuals.
You would have known by now that Artificial Intelligence is of utmost importance. It provides organizations with the luxury of freeing up resources for every high-level task.
Let’s discuss all the benefits of AI development services in a quite comprehensive manner. These benefits are mentioned below:
» The time taken to perform a task is driven down by the AI. It permits multi-tasking and makes the workload for current resources easy and seamless.
» Without particular cost outlays, AI authorizes the implementation of hitherto complicated tasks.
» Artificial intelligence has no downtime and it operates 24*7 without interruption and breaks.
» AI increases the productivity and efficiency of any work done by humans. It elevates the potentiality of differently abled individuals.
» AI can be deployed across several industries and has mass market potential.
» By making all the procedures prompt and more efficient, AI facilitates decision-making.
Best Programming Languages Used In AI Development
There is no single answer to the question of which programming language can be used or which is the best language for ai development . There are multiple languages that are used to develop an AI.
There is no one-size-fits-all solution for this domain, as different languages are better suited for different tasks. Nevertheless, there are many languages that are normally used for AI than others.
Let’s take a look at all the programming languages that are used for developing an AI. All these languages are explained below in a panoramic way:
1. Python
Python is a best languages for ai language that is used for coding an application, website, and even AI. Developers highly appreciate Python language for its simplicity and easy syntax. It has an object-oriented approach in order to code maintainability. As a result, Python app development is way too efficient and seamless for developers.
Even though, Python seems amiable, it is well-equipped to manage and operate complicated and large projects. But which algorithm is used to train the machines? Yes, it is Machine earning which is termed as the subset of AI.
One of the most popular frameworks of Python for AI development is TensorFlow. It is an open-source ML library where developers can train deep neural networks.
Apart from these, there are several other pre-existing libraries and frameworks. This includes:
» SciPy
» PyTorch
» Theano
» Pandas
» Nltk
» Keras
» sci-kit-learn
By the side of Machine Learning (ML), developers use these technologies for NLP or Natural Language Processing and estimating advanced mathematical models and expressions.
NLP is something like smart assistant applications such as Google and Alexa. It is used to understand in order to respond appropriately and suitably. Python is way too simple and easy language that a beginner can also learn perfectly.
2. Lisp
When it comes to AI development, Lisp is one of the oldest programming languages that will help you develop an app in no longer time. It is short for list processing one of its original apps and was originated in 1958. With the help of creator John McCarthy in 1962, this programming language is able to address problems of Artificial Intelligence.
This language is difficult to understand for beginners and hence it is rare that developers flock to this language at the initial stage. It has a difficult syntax and complex libraries when compared to other programming languages.
You would have seen multiple AI projects where Lips has expertise and can be a great asset in developing an AI. It is not limited to multiple elements. These elements are mentioned below:
» Rapid prototyping
» Dynamic object creation
» Implementing data structures as programs
» Altering programs as data
» Compulsory garbage collection
Finally, Lisp is an immensely flexible language that has the ability to turn thoughts into reality.
Also Read:- AI-Powered Personal Assistant App Development In 2023.
3. Java
Java is a server-side language and its chief feature is that everyone can use this programming language anywhere and on any platform with the help of its virtual machine.
Even though Android developers have the choice of working with Kotlin being a native language, Java is best suited for Android app development.
Artificial intelligence is a profitable app development trend. This phenomenon is well-known among the Mobile app developers.
Java has quite a few ML or Machine Learning algorithms and libraries for natural language processing or NLP and deep learning, even outside of mobile applications. As a result, Java is mostly required for development by the developers.
If you are interested in learning and developing an AI by using Java for your machine learning needs, then the below-mentioned points can help you a lot.
» Deep Java Library
» Kubeflow
» OpenNLP
» Java Machine Learning Library
» Neuroph
But apart from this, Java is an OOP language, i.e., Object Oriented Programming Language which is way too easy to work with. Developers can easily develop an AI with the help of this language.
4. C++
It’s been not a while since C++ came into existence. But this language works well with hardware and machines. Make sure that this language is not meant for the theoretical side of software development services.
Still, when developers practice this language in person, it has the capacity for low-level programming. This makes it best for handling and managing the AI models in production.
You are able to develop neural networks from the beginning with the help of C++ programming language and translate user code into something that is understandable by machines.
There are multiple machine learning algorithms and libraries that were built with C++. Because of this, C++ is a programming language that gets a lot of attention from developers when it comes to AI development.
There are multiple benefits of software development services in building an AI. As a result, no one should underestimate the work done by C++ in the development procedure of Artificial Intelligence.
5. R
R is one of the popular programming languages but isn’t the best language for AI. When it comes to developing an AI, you must understand that its data is crucial and important.
As a result, you will need to analyze and constitute the data precisely. In this situation, things get a bit mathematical, but you need not worry about this as it will be handled smoothly and hassle-free with this popular programming language.
If you need to get your numbers straight and accurate, then R is a language that you are looking for and it is way better than Python.
R language provides the developers with some packages. Let’s have a look at them.
» Gmodels- This R package provides tools for model fitting.
» Tm- This R package is a framework for text-mining apps.
» OneR- This R package is used to execute the One Rule Machine Learning Classification.
6. Julia
One of the newer languages, i.e., Julia is one of the best languages for AI development. But you must not use it for your other AI projects. Even though this language is used by a small group of developers, still Julia language is one of the popular languages in order to develop an AI.
It is a hyped language for add-in memory management, debugging, metaprogramming to the mix, and several others. It has a wide variety of quintessential characteristics which include straight support for C functions, parallel and distributed computing, and dynamic type systems.
Julia is a programming language that is stacked with pre-made models, algorithm help, and different packages for probabilistic programming. This includes the following:
» MLJ.jl
» Flux.jl
» Turing.jl
» Metalhead
7. Prolog
Prolog, a blend of logical programming languages was developed in 1972. No matter what its age is, it still works perfectly for the right projects. These days, cloud services for a database-as-a-service require a huge attention. Let’s understand how by reading further.
In this language, the developers only need to chart out a basic set of rules, facts, queries, and goals instead of coded sequences.
When NLP is involved, Prolog becomes an apt at pattern matching. The first-ever chatbot in world history was coded in Prolog language. The basic tenets of this language are mentioned below:
» Facts: It defines and explains true statements.
» Rules: It defines and explains statements with additional circumstances.
» Goals: It defines and explains where the published statements are placed given a base of knowledge.
» Queries: It defines and explains how to make statements true and the final analysis of rules and facts.
These fundamental statements are the heart of the Prolog programming language for it. Nowadays cloud services make it easy and seamless for chatbots to have a complete storage of data in order to access the latest and old information. This simply means that chatbots are way too intelligent during the time of Prolog.
Also Read:- Types and benefits of cloud services.
8. Haskell
One of the statically typed and righteously functional programming languages in today’s AI development era. In short, Haskell language is expressive, flexible and easy to code.
It has an abstraction readiness that alleviates the requirement of spending a large amount of debugging time on errors. And Haskell’s appeal has efficient memory management, type system, and code reusability.
But there is one of the most interesting characteristics of Haskell that it is one of the lazy programming languages. As a result, Haskell only estimates some pieces of the codes that are necessary. Naturally, this can be a pro or a con which will completely depend on how you are looking at it.
In all respects, there is a theme of Haskell’s attractiveness for every AI developer. This simply means that this language is efficient and seamless. Most of the time, you will spend extra time thinking than typing.
Conclusion
With that said, let’s wind up here, as you can see, there are plenty of different programming languages out there to choose from when it comes to development. Each language has its pros and cons, so it's very crucial and important to take the time to consider which one will be the best in order to serve your project's needs.
Python and R remain popular choices in the minds of AI developers. Thanks to their user-friendly capabilities. On the other hand, Java is also on the rise and uplift due to its scalability and flexibility. C++ remains a reliable choice for those who prefer a more conventional approach.
Whichever language you decide upon, with these top 8 programming languages for developing an AI, we are sure you will be able to build powerful AI applications that will stand out from the rest.
It completely depends on which programming language you want to choose in order to develop an AI. But still, if you face any doubt or confusion regarding the concerned subject matter, then make sure to seek help from a professional AI development company who can guide you thoroughly.
Frequently Asked Questions
Q 1. Which Programming Language Is Best For AI?
Ans. Python, Lisp, Java, C++, and R are some of the most common and popular programming languages for developing an AI.
Q 2. Is C++ or Python Better For AI?
Ans. While C++ provides benefits like memory and speed management, it also has defects like a steep learning curve and restricted community support. Python is the most popularly used programming language for machine learning, which has a large community of developers, a vast library, and is easy to use.
Q 3. Which Is Better For AI, Java Or Python?
Ans. Java is best for complicated and large-scale applications, whereas Python is best for scientific computing, machine learning, and data analysis.
Q 4. Can I Learn AI Without Coding?
Ans. Coding is an essential part and a required skill for most AI applications. But it's not the only way to learn and work with AI. A majority of online courses and multiple resources can help you learn the basics of AI without any coding required.
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