Best Programming Languages for AI Development

In this post you will know the top programming languages for Artificial Intelligent Development. Artificial Intelligence (AI) is the study of computer science which focuses on developing software or machines that exhibit human intelligence. Developing computer systems that equal or exceed human intelligence is the crux of artificial intelligence. AI has had some success in limited domains.

The central goals of AI research are reasoning, knowledge, planning, learning, natural language processing, perception and the ability to move and manipulate objects. General intelligence is among the field’s long-term goals. Approaches include statistical methods, computational intelligence, and traditional symbolic AI. Many tools are used in AI which includes various versions of search and mathematical optimization, logic, and methods based on probability and economics. The AI field draws upon computer science, mathematics, psychology, linguistics, philosophy, neuroscience and artificial psychology.

Here are the top 3 programming languages for building AI :

1. Python:

One of the leading languages used for developing AI Projects is Python which is because of its simplicity and easy coding behavior and is especially used in health-related startups involving AI.The Python community has developed a lot of libraries and extensions to handle most common tasks used in AI projects like Plotting Graphs, Processing Data etc easily. There are also packages available for almost all AI components ranging for Bayesian Networks to Artificial Neural Networks. Mostly AI developers suggest Python for Artificial Intelligence development.

Best features of Python:

• Practical versions of libraries. (tensorflow, numpy, VTK, Simple AI)
• Open Source Libraries. (Numpy, Matplotlib)
• Great Framework. (scikit-learn)
• Effortless prototyping and building of apps.
• Easy to learn.
• Open Source.
• Modular programming.
• Fast testing

2. JAVA

Java is in the top five because of its familiarity and easy to use features. This OOP language allows easy coding of algorithms which covers the major part of AI. It is portable and it offers inbuilt garbage collection. AI is closely connected with search algorithms, genetic programming and the use of artificial neural networks. Java in artificial intelligence sphere may be more than useful. Programming AI in Java has many benefits as it is easy to use, easy to debug, facilitates visualization and has better user interaction. Another reason for programming AI in Java is the incorporation of Swing and SWT. These features make graphics and interfaces look appealing and sophisticated. Java is good but not as fast as C ++.

Best features of JAVA:

• Strong Libraries. (Weka, Mahout)
• Easy usability.
• Scalability.
• In-built Garbage Collection.
• User interaction.
• Fast.

3. C++

The very reason C++ is used in AI solutions is its speed; it is probably the fastest language out of all. Therefore, whenever speed is the prime concern of any AI developer, C++ is opted.Statistical AI techniques such as neural networks are common examples of this. Its ability to talk at the hardware level enables developers to improve their program execution time. C++ is extremely useful for AI projects. Algorithms are written extensively in the C++  for speed execution. AI in games is mostly coded in C++ for faster execution and response time.

Best features of C++:

• Speed.
• Easy to learn.
• Real world implementations.
• Genetic Algorithms
• Neural Network Implementations.
• Mission Critical Systems