A few programming languages stand out in artificial intelligence because of their unique capabilities, libraries, and user bases. Let us briefly explore some interesting programming languages for AI development, each designed to address specific AI application requirements.

By leveraging the strengths of these programming languages, AI developers can build intelligent systems that meet the specific demands of diverse AI applications, from machine learning and robotics to data analysis and automation. Each language's unique set of libraries and tools plays a significant role in shaping the capabilities and efficiency of AI solutions.

The following are some of the seven interesting programming languages to become AI developers​:

Python

Python is the most often used language for AI development because of its simplicity and readability. This feature makes Python accessible to both beginners and specialists. It has a large ecosystem of libraries and frameworks, including TensorFlow, PyTorch, and sci-kit-learn, which are required for machine learning, deep learning, and data analysis activities. Python's versatility and extensive community support make it the preferred choice for AI applications, from natural language processing to machine vision.

Java

Another popular AI programming language is Java, utilized primarily in large-scale and enterprise applications. Its platform neutrality and object-oriented capabilities are ideal for developing complicated AI systems. Java provides several libraries for machine learning and neural network development, including Weka and Deeplearning4j. Java's robustness and scalability make it excellent for applications that demand dependability and performance.

C++

C++ is preferred for AI applications requiring high performance and low latency, such as real-time systems and robots. Its capacity to efficiently manage memory and execute programs provides a substantial edge in computationally complex AI tasks. C++ interfaces effectively with AI packages such as TensorFlow and OpenCV, making it ideal for deep learning and computer vision applications. However, its high learning curve can be difficult for beginners.

R

R is a language built primarily for statistical computation and data analysis, making it ideal for AI jobs that require massive datasets and sophisticated statistical models. It includes various packages for data manipulation, visualization, and machine learning, all needed for AI research and development. R's strength is its ability to manage data-intensive applications with ease.

Lisp

Lisp is one of the oldest programming languages used in artificial intelligence research. It is known for its versatility and symbolic processing capabilities, making it ideal for AI problems requiring symbolic reasoning and rapid prototyping. Lisp's characteristics, including dynamic typing and garbage collection, make it easier to create complicated AI systems.

JavaScript

JavaScript is becoming more prevalent in the development of AI, particularly for web-based applications. Thanks to libraries like TensorFlow.js, developers can now execute machine learning models directly in the browser, facilitating real-time interactivity and visualization. JavaScript is a potent instrument for developing AI-driven web applications due to its seamless integration with HTML and CSS and widespread use on the web.

MATLAB

In robotics and control systems, MATLAB is a widely used tool for AI research in academia and industry. It is a potent instrument for developing and evaluating AI algorithms due to its pre-installed functions and toolboxes for data analysis, neural networks, and machine learning. The capacity of MATLAB to effectively visualize data and manage mathematical computations is a substantial advantage for AI developers.

Disclaimer:

The programming languages mentioned in this article are not listed in any specific ranking order, and no rating or comparison based on particular parameters has been conducted. We have not tested the tools or libraries referenced herein. For detailed clarifications or further information regarding the use of these programming languages or tools, please consult the respective development teams or official documentation. The content provided is for informational purposes only and intended to offer a general overview of programming languages commonly used by AI developers.

Image source: Unsplash