Artificial Intelligence is a novel technology that has emerged as a business buzzword. The adoption of AI programming by businesses is growing as AI-powered applications promise to bring efficiency and optimum benefits to them. The big question for businesses looking to invest in such applications is related to the choice of the right programming language to build them. There is an array of languages available for writing AI-based applications and each one has its own benefits and drawbacks. The choice greatly depends on the desired functionalities of the application that your business is looking for. Here are some of the languages that you should know about before investing in an AI application for your business.
Python is among the widely preferred programming languages in the AI landscape because of it has a simple syntax and is highly versatile. It is also portable and can be used on a variety of platforms including Windows, Mac OS, Linux, and UNIX. Furthermore, it is a multi-paradigm programming language that supports object-oriented, functional, and procedural styles of programming. It comes with a function library and tools that facilitate the development of NLP solutions. Developers can save time and create efficient solutions with the language as it supports algorithm testing without the need to implement them.
Next on the list of the most suitable AI programming languages is C++, which is the fastest computer language that makes it ideal for AI programming projects which are time sensitive. It offers faster execution and has lesser response time, which is the reason that it is preferred for AI applications. Additionally, it enables an extensive use of algorithms and is also efficient in applying the statistical AI techniques. Another key factor is that this language supports the re-use of programs in the development process due to data-hiding and inheritance. A rich collection of library functions and programming tools is another factor that works in its favour.
Java is a multi-paradigm language which follows an object-oriented approach. The fact that makes Java technologies right for AI development is that the language runs on any platform which supports it without needing recompilation. Also, the Once Written Read/Run Anywhere (WORA) approach makes it apt for simple and fast development. The major part of the syntax of the language come from C and C++. It is suitable for NLP, neural networks and search algorithms. Also, it is empowered by an automatic memory manager which simplifies the work of the Java developers.