The world has changed dramatically and unexpectedly thanks to artificial intelligence.
Every algorithm has recently come into existence, from personalized recommendations to social humanoid robots. Many people, particularly those in the younger generation, are unable to see it because they think AI has always existed. But these instances of artificial intelligence only affect the entire world. AI development seems ideal with advantages like intelligent decision-making, automation, minimal errors, and data analytics but you need to maximize the energy efficiency, otherwise running Successful AI will be very expensive.
But among the many popular programming languages, which ones are the best for creating artificial intelligence? Making the appropriate programming language choice is a crucial step in this process. Businesses use AI to improve localized processes like production, operations, and customer experience. The top 10 programming languages for Artificial Intelligence development in 2023 and the applications for each will be covered in this article.
Best 10 programming languages in 2023 for AI development
One of the best programming languages for AI development currently available is Java by Oracle. Java is a class-based, object-oriented programming language that places a strong emphasis on reducing implementation dependencies. This language has developed to reflect the most recent advances in science and technology. The same is true in AI. Because it lacks complex features like pointers, operator overloading, multiple inheritances, and explicit memory allocation, Java is one of the simpler programming languages. Thanks to Java’s Virtual Machine Technology, the AI development company can be able to produce a single version of a program that can run on numerous Java-based platforms.
Another on the list is Python, the programming language with the least amount of code. The language is also user-friendly for app development companies. To begin with, it includes prebuilt libraries for complex computing, including Numpy, Scipy, and Pybrain. Object-Oriented programming is one of Python’s key characteristics. Python supports classes, object encapsulation, and other object-oriented language concepts. A variety of Python forums and tutorials can be used to get help. Python is therefore regarded as one of the best programming languages for AI development.
The code written in Scala is incredibly quick, easy, and efficient. Every value is an object, making it a pure object-oriented language. Classes and traits describe the type and behavior of the object. It helps programmers build intelligent applications and supports the Java Virtual Machine (JVM) environment. In order to express common programming patterns in a clear, elegant, and type-safe manner, Scala is a contemporary multi-paradigm programming language. It seamlessly combines functional and object-oriented language features. Java and JS are both compatible with it. One of the best tools for creating AI is Scala, which has impressed developers in that area.
Programming in Logic is referred to as Prolog. It is the ideal language assistance for artificial intelligence research. In the form of rules, the language was developed in 1972. For tasks requiring a database, natural language processing, and symbolic reasoning, Prolog is the best option! It is mainly used in computational linguistics and artificial intelligence projects.
Classic AI programs like ELIZA, a pioneer in natural language processing, were expressed using LISP. Early Lisp versions were distinct from most other programming languages in that they did not require a compiler in order to directly interpret the code. Symbolic AI is the primary method for addressing problems that require logical reasoning and knowledge representation. The ability of LISP to handle symbolic data facilitates programming for artificial intelligence, and it excels in situations where symbols and symbolic expressions are used in the computation.
Everyone wants to develop software that is fast, efficient, and secure, and Rust makes that possible. Rust’s distinct methodology produces better code with fewer compromises than C, C++, Go, and the other programming languages you probably use. Additionally, it is frequently updated monthly. Rust is the backend programming language used by numerous well-known systems, including Dropbox, Yelp, Firefox, Azure, Polkadot, Cloudflare, npm, Discord, etc.
Despite its limited support, Haskell is another fantastic programming language you might try for creating AI. Haskell combines cutting-edge research with tried-and-true, time-tested technology. It holds a distinctive place between academia and industry. Pure functionality and abstraction are two of its main traits, which gives the language a lot of flexibility. The developers profit from Haskell’s type system, memory management, and code reuse features.
This dynamic programming language is made to be excellent at computational science and numerical analysis. A modern, expressive, high-performance programming language called Julia was created specifically for handling data and performing scientific computations. Along with an increase in the number of machine learning libraries like TensorFlow.Jl, Scikitlearn.Jl, Mocha. Jl, Flux, and others, a growing support network have developed around the language. A large library of mathematical functions with excellent numerical accuracy is provided by Julia.
R is a programming language that statisticians developed for statistical computing. The most widely used programming languages for learning data science are R and Python. R has evolved into one of the most popular programming languages thanks to its advanced features. This programming language is a popular choice for machine learning development projects that require significant data processing because it offers a variety of methods for model training and evaluation.
A ripple of improvements to the programming languages used for AI development will occur in 2023. Organizations are moving quickly to implement the best AI integrations into their working processes. The concept behind this is to build new cutting-edge models, services, and products while optimizing the organization’s current operational processes.
There are numerous additional programming languages available for AI development projects. However, the ones mentioned above are the best of all and will be actively used in 2023 for the advancement of AI.