Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

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Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

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What's the best programming language for artificial intelligence?

By Nand Kishor |Email | Dec 28, 2017 | 27501 Views

Artificial intelligence is a growing field and one which can be written in various programming languages. However it remains difficult to identify which of the many languages should be used for the AI project you may be working on next. Here are some of the best languages for programming AI to help you decide.

1. Python

Python is a widely used programming language and can be found used across AI due to the simple and seamless structure that it offers.
Python‚??s syntaxes enable different AI algorithms to be implemented into it fairly easily, also offering a short development time in comparison to other available programming languages.
Deploying Python enables users to build neural networks, with a selection of useful libraries that can be used for AI development.
Other features include the option to test algorithms without having to implement them. It also supports object oriented, functional and procedure oriented styles of programming.

2. Lisp

Lisp stands as one of the oldest programming languages available, yet is still one of the preferred choices for the development of AI because of its unique features.
It is essentially a practical mathematical notation for computer programs. Developers tend to go for Lisp in machine learning and AI projects due to its flexibility to adapt to the problem that needs solving. Alongside this, Lisp also offers fast prototyping capabilities, a library of collection types, support for symbolic expressions and others.

3. Prolog

Prolog often goes head to head with Lisp as one of the top programming languages used for the development of AI.
It is one of the oldest logic programming languages, which specifically offers a declarative language as the main focus for any of the programs used that are represented by rules and facts
This provided feature is particularly effective for AI development as it is able to create expert systems whilst also solving logic problems.
Its key features include pattern matching, automatic backtracking and tree-based data structuring mechanisms.

4. AIML

AIML (Artificial Intelligence Markup Language) is recognised as an XML dialect used to create chatbots in AI projects.
The programming language can create conversation partners speaking a natural language. For instance, several chatbots referred to as 'Alicebot clones' have been created from the use of the program.
AIML interpreters can also be found in other programming languages such as Java, Python and more.

5. Java

Java, a popular programming language, can also be seen as a good choice for AI programming as it provides search algorithms, neural networks and NLP.
It is an easy to understand language which offers graphical representation, debugging and scalability.
Its portability makes it the preferred implementation for various applications based on its availability of different built-in types.

Source: Techworld