Top 6 Programming Languages For Artificial Intelligence

Data Science, AI and ML
#1

Artificial Intelligence is on everybody’s mind—especially businesses looking to accelerate growth beyond what they’ve previously been able to achieve. With AI, your business can save time and money by automating and optimizing typically routine processes. Once AI is in place, you can be sure that those tasks will be handled faster and with more accuracy and reliability than can be achieved by a human being.

On top of that, AI is exponentially faster at making business decisions based on input from various sources (such as customer input or collected data). AI can serve as chatbots, in mobile and web applications, in analytic tools to identify patterns that can serve to optimize solutions for any given process and the list goes on. In fact, there’s very little that AI can’t boost.

But to employ artificial intelligence in your company’s systems and services, you’re going to need software engineers who are up to the task. On top of that, those developers are going to need to know the best languages to use for AI.

Which languages are those? There are several ones that can serve to make your AI integration dreams come true. Let’s dive in and take a look at what are some of the best languages available for Artificial Intelligence.

Python

Although Python was created before AI became crucial to businesses, it’s one of the most popular languages for Artificial Intelligence. Python is the most used language for Machine Learning (which lives under the umbrella of AI).

Lisp

Lisp has been around since the 60s and has been widely used for scientific research in the fields of natural languages, theorem proofs, and to solve artificial intelligence problems.

JAVA

It should go without saying that Java is an important language for AI. One reason for that is how prevalent the language is in mobile app development. And given how many mobile apps take advantage of AI, it’s a perfect match.

C++

C++ is another language that’s been around for quite some time, but still is a legitimate contender for AI use. One of the reasons for this is how widely flexible the language is, which makes it perfectly suited for resource-intensive applications

R

R might not be the perfect language for AI, but it’s fantastic at crunching very large numbers, which makes it better than Python at scale. And with R’s built-in functional programming, vectorial computation, and Object-Oriented Nature, it does make for a viable language for Artificial Intelligence.

Julia

Julia is one of the newer languages on the list and was created to focus on performance computing in scientific and technical fields