Artificial Intelligence (AI) is a name that is echoing everywhere. Every other news article, blog, and press release is regarding AI. It seems that everyone wants to sail in the boat of artificial intelligence and streamline their work processes.
As per reports, the global AI market is standing at USD $638.23 billion in 2024. Furthermore, it will reach USD $3,640.47 billion by 2034. This massive data highlights that this industry will grow at a CAGR of 19.1% for a decade.
Undoubtedly, this technology is changing the course of everything, so it is used by developers while generating code for their work. But the question is – which programming language is a viable tool for making artificial intelligence?
How to Choose a Programming Language for AI Development?
There are certain parameters which will help you select the programming language for the AI development.
Below are those specifications:
- Need to Discuss Project Requirements: First of all, the project requirements should be clear. Everything needs to be decided beforehand. If the requirement is data processing, then a different programming language will be chosen. However, if the requirements are machine learning or natural language processing, then the language requirements will change.
- Focus on Performance Requirements: When there is a requirement for high performance, there are languages that cater to this need. You can select only those programming languages that work on computational power.
- Grow with Operations: The programming language should prosper with the requirements of the project. It would be better if you stay with those languages that have the scalability option. This means as the project will go on a higher note, the language can handle it.
- Supported by Communities: There are many programming languages available in the market that are benevolent to developers because they have a large community at the global level. So people will have easy access to various types of resources, libraries, and frameworks.
- Availability of Several Libraries: Every language has its own library. Therefore, you should select a language that has the most libraries and is according to AI development. This step will perform two things: save time and money.
Let’s explore the ten languages and see which one fits the picture.
1. Python
If a programming language is to be called out for its library support, it would be Python. This is because it has readable syntax, which developers can use to eliminate several problems. Below are the reasons why Python programming language is best.
- If we look further, we will see that this language has a vast ecosystem of AI libraries. Some of them are known as TensorFlow, PyTorch, and Keras.
- Python also has other libraries, such as Numpy and Pandas. These elements support data manipulation and analysis.
- Additionally, SciPy is used for scientific computing.
- Nowadays, AI developers are using a specific library, Jupyter Notebooks. This increases the capability of showing data on the screens.
2. R Language
Basically, R language was developed to perform various types of analysis and bring data to life on screens. However, it is used as one of the languages to develop several AI models.
The best thing about this language is that it can provide analysis based on computations and numerics. But how does it do it? All due to packages like caret and randomForest. These components are built in such a way that they can handle machine-learning tasks.
Moreover, the other capability of the R language is that it can handle large datasets. Additionally, it can be merged with other languages.
3. Lisp
Lisp is a programming language that was used in the earlier stages when AI research was performed. AI developers preferred this language because it offered unique features that other languages were far away from offering. It provided symbolic expression and recursion.
Furthermore, Lisp helps developers to build dynamic codes for AI development.
4. JavaScript
JavaScript is the main programming language that has the potential to bring AI capabilities to web browsers. This happens because it consists of certain libraries, such as TensorFlow.js, through which developers can run artificial intelligence commands on web browsers.
Furthermore, this language contains important attributes that are pertinent to AI development. These components are event-driven architecture and asynchronous processing through which AI can be run on web browsers.
5. Julia
New programming languages make their way into AI development. The newest language in the arsenal is Julia. It has garnered positive reviews for performing numerical analysis in less time than expected.
Furthermore, the syntax of Julia is efficient, and AI developers can use it to ease out complex tasks. Moreover, it has the tendency to calculate numbers at a fast rate, which makes it a perfect choice for deep learning tasks.
Additionally, Julia has its own library system, and the recent one added to it is Flux.jl for the purpose of machine learning.
6. C++
C++ might be a name that can come under the category of the oldest programming language. However, it has the capability to perform better tasks in real-time processing under the AI ecosystem.
Being the oldest language, it has the advantage of being compatible with hardware and low-level programming.
C++ also has a wide variety of libraries under its portfolio. Two of them are TensorFlow C++ and Caffe.
7. Java
After C++, if we have to categorize the other language in the oldest one, that would be Java. As a matter of fact, Java has been used worldwide for various enterprise applications. Nowadays, its usage is more seen in the AI development market.
The reason is simple for this availability! Because it has an object-oriented structure for modular systems.
- Furthermore, it has a powerful framework known as Deeplearning4j. This framework is used by various tools to develop deep learning models.
- Moreover, there is another framework under the umbrella of Java, which is Weka. It provides various ML algorithms to the users.
8. Prolog
Which is the best declarative language that has the power to perform various reasoning and can show the data on screens? It is Prolog!
It has become famous in the ecosystem of AI development because it can manage challenging logical queries and help developers focus on data pattern matching.
Due to these reasons, Prolog is being used in the AI development process.
9. Haskell
Haskell is a programming language that works on lazy evaluations. This is the main virtue of this programming language that made it reliable for AI development.
Furthermore, it helps generate fewer errors due to its robust type system. Moreover, Haskell changes its approaches as per the requirements of AI paradigms, and that is why developers are leaning towards it.
10. Wolfram Language
Wolfram is a programming language that has the capacity to power up various AI developments. It helps developers with machine learning, data analysis, and other important functions.
There is a dedicated knowledge of this language, which is called Wolfram Knowledgebase. This library leads to better code generation for artificial intelligence.
As we have discussed the top ten programming languages that can help build a smooth AI ecosystem, our next focus is on how to select a programming language for AI development.
What are the New Trends in AI Programming Languages in 2024?
Every day, new updates are seen in the environment of artificial intelligence development. These are happening because developers are using the power of various programming languages to develop AI models that can provide pertinent solutions.
Below are those new updates:
- Using Languages to Build New AI Capabilities: Artificial intelligence is showing new updates because developers are using it to build a feasible environment for the general public. Recently, OpenAI launched the “ChatGPT Search Option.” This powerful option is built on Python language.
- Development of AI-Specific Languages: Many languages are being formed to handle various AI challenges. These languages are Mojo, Finch, and Julia. Now, the development of AI tasks has become easier with all these languages.
- Ongoing Process: Every day, developers try to generate a new solution in the form of a programming language to solve the challenges of AI. The mission is to generate more output with less coding.
Case Studies on Various AI Projects and Their Programming Language
Undoubtedly, all large AI projects are built on one or a combination of programming languages. Let’s see which popular projects are built on these criteria.
- Google’s TensorFlow
The first case study is regarding Google’s TensorFlow. If we have to describe this technology, then it is one of the best open-source machine learning frameworks. Furthermore, companies are using this technology in their AI development.
The parent company of this framework is Google. The main motive is to provide easy-written algorithms to developers, so it was developed accordingly.
Furthermore, TensorFlow has various APIs under it. One of the primary APIs is Python API, which is used to train AI models. As a matter of fact, Python API is blended with C++ and is benevolent to various developers’ teams.
The doors of TensorFlow are opened for other programming languages. One of them is JavaScript, which is used to deploy various web environments.
- Facebook’s PyTorch
The second case study belongs to PyTorch. This is developed by Facebook’s AI Research Lab. This was generated with the motive of providing coding relief to researchers and developers.
If we analyze it from the external side, it seems that a large number of programming languages are used to build it; however, it is generated on the basis of Python.
As it is developed in Python, it has the power to show various types of graphs and has the proper ability to debug. Additionally, there is a touch of C++ interface in PyTorch, which solves the challenging coding in simple tasks.
- IBM’s Watson
IBM has generated various accolades in the programming ecosystem. However, when it developed the Watson model, everything changed in the development scenario.
IBM’s Watson was developed with the motive of easing the development of AI services. The main programming language used in this model is Java. But why is Java used to build a powerful platform? This is all due to Java’s virtues, which help developers to develop powerful applications.
Furthermore, there are many libraries that come under the portfolio of this programming language.
Additionally, Java works on two main attributes. One is called strong typing, and the second is called object-oriented features.
What is Next?
The future of AI is bright, and there are possibilities for new programming languages to come. Let’s see what are the future possibilities:
- Leaning Towards Quantum Computing: Quantum computing is a hot topic in 2024 and will remain so for the upcoming years. Many new programming languages will develop under this technology and will lead AI towards more perfection.
- Languages That Can Focus on Explainability and Ethics: Which AI model will you use as a layman? That provides the fastest and most accurate answers. So, more programming languages will be developed to speed up the process of AI development and provide better explanations to the users.
- Collaborating with Existing Technologies: As of now, several new technologies exist in the market. These are the Internet of Things (IoT) and edge computing, which has the potential to bring revolution to the world. Furthermore, Alexa is built on IoT technology, and it generates more accurate results when blended with other languages that provide real-time processing.
Wrapping Up!
Today’s business environment is AI! A business that is unaware of this technology will not survive in the long run. On the other hand, companies that use artificial intelligence are fetching marvelous results. These companies are able to reduce their costs and save time in developing their products and services.
Furthermore, we have mentioned the best programming languages in our blog, which developers can use to build a powerful AI model. But there is a condition that before selecting the language, the development team has performed extensive research on which programming language will go along with the AI development.
So, let’s take the AI models to the next level with these languages so that more growth can be seen in the upcoming time. Choose the best language and build a powerful AI system.
Author Name:- Harikrishna Kundariya
Biography:- Harikrishna Kundariya, a marketer, developer, IoT, Cloud & AWS savvy, co-founder, Director of eSparkBiz Technologies. His 14+ years of experience enables him to provide digital solutions to new start-ups based on IoT and SaaS applications.
