Python

When it comes to AI programming languages, Python leads the pack with its unparalleled community support and pre-built libraries (like NumPy, Pandas, Pybrain, and SciPy) that help expedite AI development. For example, you can leverage proven libraries like scikit-learn for ML and use regularly updated libraries like Apache MXNet, PyTorch, and TensorFlow for DL projects.

Java

We can’t discuss the best programming language for AI without talking about the object-oriented programming language, Java. Since it first emerged in 1995, Java has grown to become a highly portable, maintainable, and transparent language that’s supported by a wealth of libraries.

Julia

Whenever a task demands high-performance numerical computing and analysis, Julia (developed by MIT) will be the best programming language for AI projects. Explicitly designed to focus on the numerical computing that’s required by AI, you can get results without the typical requirement of separate compilation. Its core programming paradigm includes a type system with parametric polymorphism and multiple dispatch capabilities.

Haskell

Haskell is a standardized strong static typing (general) language developed in the 1990s with non-strict semantics (based on the Miranda programming language). Its popularity is primarily concentrated in academic circles, but tech giants such as Facebook and Google have also been known to use it. Haskell is used in research projects because it supports embedded domain-specific languages that play a significant role in programming language research and AI.

Lisp

While AI has only started making a significant consumer impact in recent years, research and development within this field goes back as far as the 1950s. Since the early days, Lisp has been at the heart of AI development, and that remains true today. Some consider it to be the best language for AI because it was created by computer scientist and father of AI John McCarthy in 1958. It’s also highly suited for AI development because its unique features enable the effective processing of symbolic information.

R

The multi-paradigm language is a procedural one, similar to Python. R Programming supports object-oriented programming. It is considered as a statistical workhorse. Once you start learning, you will understand that statistics forms the base of AI and ML. The open-source nature of R implies that it is free to use. It has a vast community of users.

Scala

Just like Java, Scala is also part of JVM (Java Virtual Machine). It has many libraries such as ScalaNLP, DeepLearning4j which make AI development easier with Scala. The language can be used for projects that need scalability and combine the strength of functional and imperative programming models. Scala offers good concurrency support as well.

Rust

The open-source programming language is voted as the most loved languages in StackOverflow's annual developer survey. Rust concepts are used in projects of many tech companies. Microsoft has used Rust concepts in its open-source project, Verona. Rust is considered as an experimental language for safe infrastructure programming.

A.I. HUB..