AI programming can be an intricate endeavor, so to ensure its success, Python is often considered the go-to language due to its ease of use and wide support network.
C++ is an adaptable programming language designed for resource-intensive applications. Additionally, it features numerous machine learning and deep learning libraries.
Python
Python is the go-to coding language in AI due to its straightforward syntax, abundant libraries, and robust community. Developers can focus on design and innovation while the language manages all the complexities associated with coding; its versatility, scalability and wide support make it ideal for developing machine learning models or AI apps.
Other popular AI programming languages are MATLAB, R and Java. While MATLAB is an all-purpose computer language, its focus lies in statistical and data visualization applications – as evidenced by its extensive library of mathematical functions, list comprehension capabilities and lambda expressions.
R is tailored for statistics, providing a wide variety of tools for working with data and developing AI models. It supports many functions and data structures – arrays, collections and time series among them – as well as algorithms for symbolic computation, functional programming and rule-based programming. Lisp on the other hand is a logical programming language with tree-based data structures developed in 1972 that is now employed by IBM Watson to answer human-generated queries.
Java
Programming languages that can help create AI applications are numerous; however, selecting the ideal one for any given task can lead to errors and delay development of AI algorithms and models.
Java is a versatile programming language ideal for AI development, providing humans with an easier path towards creating AI applications. As it supports object-oriented programming and platform independence, developers can more easily develop complex applications across platforms.
Comparative to Python, Java has a steeper learning curve and takes longer to write programs; however, its large developer community helps accelerate development processes for AI applications. Furthermore, its bytecode can easily be translated to native machine instructions for distributed environments.
C++
C++ is an efficient programming language designed for AI application development. As a superset of C, C++ boasts many advantages over its counterpart – from efficient memory management (using dynamic allocation/deallocation), to graphic data representation support, multithreading capabilities and object oriented programming with support for encapsulation/inheritance as well as being platform independent.
C++ may not be the top choice when it comes to machine learning and AI projects, but its flexibility and additional features make it a good fit for these types of work. Furthermore, many libraries specifically dedicated to these tasks are written using this programming language.
Emma White is a Business Development Manager for BairesDev and specializes in expanding tech companies through client base growth, market research and overseeing growth projects. With experience across several programming languages and an intense passion for creating innovative solutions she currently focuses on AI as an emerging force within technology and its potential to revolutionize future generations of solutions.
LISP
LISP was developed in 1958 and remains one of the oldest programming languages still in use today. A functional language, LISP treats programs as data structures while operations on those data structures behave like operations on themselves; this makes it suitable for AI programming tasks requiring self-modifying functions as well as providing a macro system allowing programmers to create domain-specific levels of abstraction.
This combination of features makes it simple for developers to create large, complex applications quickly. It provides access to an expansive library of standard types like lists, vectors, adjustable arrays and hash tables; functional programming paradigms as well as OOP are supported; its emphasis on recursion has made it popular in Artificial Intelligence research as well.
Lisp programming language is an incredibly flexible and powerful solution for software development. Additionally, its flexibility makes it easy to adapt as new abstractions emerge – meaning no need for reinventing the wheel should any modifications need to be made in future.