{"id":20411,"date":"2024-07-10T11:06:12","date_gmt":"2024-07-10T04:06:12","guid":{"rendered":"https:\/\/innotech-vn.com\/?p=20411"},"modified":"2024-08-13T11:21:31","modified_gmt":"2024-08-13T04:21:31","slug":"best-programming-languages-for-ai","status":"publish","type":"post","link":"https:\/\/innotech-vn.com\/vie\/best-programming-languages-for-ai\/","title":{"rendered":"5 Best Programming Languages for AI In 2024"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Looking for the <\/span><a href=\"https:\/\/innotech-vn.com\/vie\/best-programming-languages-for-ai\/\" target=\"_blank\" rel=\"noopener\"><b>best programming languages for AI<\/b><\/a><span style=\"font-weight: 400;\">? We\u2019ve got the top 5 popular answers that you must try!<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">Believe it or not, one such field that still has roped in the growth phase is artificial intelligence (AI). According to a <\/span><a href=\"https:\/\/www.grandviewresearch.com\/industry-analysis\/artificial-intelligence-ai-market#:~:text=What%20is%20the%20artificial%20intelligence,USD%201%2C811.75%20billion%20by%202030.\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">Grand View Research report<\/span><\/a><span style=\"font-weight: 400;\">, the global artificial intelligence market is expected to reach <\/span><b>USD 1,811.8 billion by 2030<\/b><span style=\"font-weight: 400;\">, growing at a CAGR of <\/span><b>37.3% from 2023 to 2030<\/b><span style=\"font-weight: 400;\">. The growth has been so overwhelming that it has increased the demand for proficient AI developers and created the need to identify the most effective programming languages for AI development.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The efficiency and effectiveness of AI projects depend, to a great extent, on the choice of a programming language. In a Stack Overflow survey in 2023, <\/span><a href=\"https:\/\/survey.stackoverflow.co\/2023\/?utm_source=the+new+stack&amp;utm_medium=referral&amp;utm_content=inline-mention&amp;utm_campaign=tns+platform\" target=\"_blank\" rel=\"nofollow noopener\"><b>70%<\/b><\/a><span style=\"font-weight: 400;\"> of developers on AI and machine learning projects preferred working with Python.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Nevertheless, other languages are not standing still, each having its benefits in specific applications of AI. What are the best languages for AI programming, along with Python? Let&#8217;s take a look!<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>5 Best programming languages for AI<\/b><\/h2>\n<p>&nbsp;<\/p>\n<h3><b>1. Python<\/b><\/h3>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Why it&#8217;s popular:<\/b><span style=\"font-weight: 400;\"> Python has remained the most used language for AI development because of its simplicity, readability, and comprehensive library support.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Key Libraries: <\/b><span style=\"font-weight: 400;\">TensorFlow, Keras, PyTorch, sci-kit-learn, and NLTK.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Use Cases: <\/b><span style=\"font-weight: 400;\">Machine learning, deep learning, natural language processing, and data analysis.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-20415 size-full\" src=\"https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/python-best-programming-languages-for-AI.png\" alt=\"Python best programming languages for AI - Innotech\" width=\"800\" height=\"411\" srcset=\"https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/python-best-programming-languages-for-AI.png 800w, https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/python-best-programming-languages-for-AI-300x154.png 300w, https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/python-best-programming-languages-for-AI-768x395.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Python \u2013 One of the best programming languages for AI.<\/span><\/i><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.python.org\/\" target=\"_blank\" rel=\"nofollow noopener\"><b>Python<\/b><\/a><span style=\"font-weight: 400;\"> has emerged as the go-to language for AI development, and for good reason. Its popularity in the AI community derives from many factors that uniquely make it well-suited to <\/span><b>artificial intelligence&#8217;s complex and wide-reaching domain.<\/b><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Guido van Rossum very thoughtfully designed this best AI Programming Language <\/span><a href=\"https:\/\/en.wikipedia.org\/wiki\/Python_(programming_language)#:~:text=Python%20was%20invented%20in%20the,implementation%20began%20in%20December%201989.\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">in the late 1980s<\/span><\/a><span style=\"font-weight: 400;\">. His philosophy of code readability and simplicity influenced the design.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">These features have contributed significantly to its wide adoption in AI, where readability and code expressiveness are vital for developing and maintaining complex algorithms.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h4><b>Python Key Features for AI Development<\/b><\/h4>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Simplicity and Readabilit<\/b><span style=\"font-weight: 400;\">y: Python&#8217;s syntax is clear and concise, allowing developers to focus on solving AI problems rather than getting bogged down in complex language structures.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Large Suites of Libraries<\/b><span style=\"font-weight: 400;\">: Python has several libraries entirely focused on or have relevant sections for AI and Machine Learning.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>TensorFlow:<\/b><span style=\"font-weight: 400;\"> Google&#8217;s Open Source Library for Machine Learning and Deep Learning.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>PyTorch<\/b><span style=\"font-weight: 400;\">: Deep Learning Framework by Facebook<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Skikit-Learn<\/b><span style=\"font-weight: 400;\">: An all-rounder in machine learning libraries.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>NumPy<\/b><span style=\"font-weight: 400;\">: Essential for numerical computing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Pandas:<\/b><span style=\"font-weight: 400;\"> This is a power tool for data manipulation and analysis.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Flexibility:<\/b><span style=\"font-weight: 400;\"> Python supports many programming paradigms, such as object-oriented, imperative, and functional. This feature enables a developer to choose the paradigm that best fits the task for AI projects.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Platform Independence<\/b><span style=\"font-weight: 400;\">: Python code can be executed on numerous platforms with extremely few changes, and thus, AI solutions can be easily implemented in different environments.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Extensive community support: <\/b><span style=\"font-weight: 400;\">This<\/span> <span style=\"font-weight: 400;\">means a very vibrant Python community is always helping to upgrade existing libraries and build new tools for artificial intelligence.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3><b>2. Java<\/b><\/h3>\n<p>&nbsp;<\/p>\n<p><b>Why it\u2019s so popular<\/b><span style=\"font-weight: 400;\">: Java is known for its portability, scalability, and robustness, thus being very applicable in large AI programs.<\/span><\/p>\n<p><b>Key libraries:<\/b><span style=\"font-weight: 400;\"> Weka, Deeplearning4j, and MOA.<\/span><\/p>\n<p><b>Use Cases:<\/b><span style=\"font-weight: 400;\">\u00a0 Enterprise-level AI applications, natural language processing, and neural networks.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-20418 size-full\" src=\"https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/java-best-programming-languages-for-AI.png\" alt=\"Java best programming languages for AI - Innotech\" width=\"800\" height=\"423\" srcset=\"https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/java-best-programming-languages-for-AI.png 800w, https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/java-best-programming-languages-for-AI-300x159.png 300w, https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/java-best-programming-languages-for-AI-768x406.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Java \u2013 One of the best programming languages for AI.<\/span><\/i><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The second best programming languages for AI on this list is Java.<\/span> <span style=\"font-weight: 400;\">Though not as profound as Python in AI, <\/span><a href=\"https:\/\/www.java.com\/\" target=\"_blank\" rel=\"nofollow noopener\"><b>Java<\/b><\/a><span style=\"font-weight: 400;\"> is never behind when considering enterprise-level AI applications. Its <\/span><b>robustness, scalability, and long-time presence<\/b><span style=\"font-weight: 400;\"> in software development make it a reliable choice for many AI projects.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Java was developed by James Gosling at Sun Microsystems, now part of Oracle, and <\/span><a href=\"https:\/\/en.wikipedia.org\/wiki\/Java_(programming_language)\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">released in 1995<\/span><\/a><span style=\"font-weight: 400;\">. Its philosophy of &#8220;<\/span><b>write once, run anywhere&#8221;<\/b><span style=\"font-weight: 400;\"> made it rather famous for developing cross-platform applications, a capability that has been extended in its usage within AI.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h4><b>Java Key Features of AI Development<\/b><\/h4>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Performance<\/b><span style=\"font-weight: 400;\">: Since Java is a compiled language and has JIT compilation, it is better at performance compared to interpreted languages, very essential in computationally-intensive AI tasks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Scalability:<\/b><span style=\"font-weight: 400;\"> It is scalable and, hence, appropriate for large applications. This makes Java quite relevant to enterprise-level artificial intelligence systems that need to process vast reams of data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Robust Ecosystem:<\/b><span style=\"font-weight: 400;\"> Although not as elaborate as that of Python, there are some good libraries and frameworks for AI development in Java, fresh out of the oven:<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Deeplearning4j<\/b><span style=\"font-weight: 400;\"> is a distributed, open-source deep-learning library.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Weka:<\/b><span style=\"font-weight: 400;\"> A collection of machine learning algorithms for data mining tasks\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Apache Spark<\/b><span style=\"font-weight: 400;\"> with Java API for big data processing and machine learning.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Strong Typing and OOP:<\/b><span style=\"font-weight: 400;\"> Java offers support for solid typing and OOP, features that assist in building structured and maintainable AI codebases.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Lookup Multithreading Capabilities<\/b><span style=\"font-weight: 400;\">: Java is suitable for parallelizing AI algorithms due to its exemplary support of concurrent programming.<\/span><\/li>\n<li aria-level=\"1\"><\/li>\n<\/ul>\n<h3><b>3. R<\/b><\/h3>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Why it&#8217;s popular<\/b><span style=\"font-weight: 400;\">: R is an independent and compelling platform for statistical computing and data visualization, so it will always attract many statisticians and data scientists.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Key Libraries<\/b><span style=\"font-weight: 400;\">: caret, randomForest, e1071, and ggplot2.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Use Cases<\/b><span style=\"font-weight: 400;\">: Data analysis, statistical computing, and machine learning are some of the use cases.<\/span><\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-20421 size-full\" src=\"https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/r-best-programming-languages-for-AI.png\" alt=\"R best programming languages for AI - Innotech\" width=\"800\" height=\"457\" srcset=\"https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/r-best-programming-languages-for-AI.png 800w, https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/r-best-programming-languages-for-AI-300x171.png 300w, https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/r-best-programming-languages-for-AI-768x439.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">R \u2013 One of the best programming languages for AI.<\/span><\/i><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.r-project.org\/\" target=\"_blank\" rel=\"nofollow noopener\"><b>R<\/b><\/a><span style=\"font-weight: 400;\"> is a powerful language and environment for statistical computing and graphics, making it a popular choice for certain aspects of AI, particularly in <\/span><b>data analysis and statistical learning.<\/b><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">In terms of history, R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is named partly after its creators. It was <\/span><a href=\"https:\/\/en.wikipedia.org\/wiki\/R_(programming_language)\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">first released in 1993<\/span><\/a><span style=\"font-weight: 400;\"> as an open-source implementation of the S programming language.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h4><b>R Key Features for AI Development<\/b><\/h4>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Statistical and Mathematical Prowess:<\/b><span style=\"font-weight: 400;\"> R excels in statistical analysis, making it ideal for AI applications heavily reliant on statistical methods.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Data Visualization: <\/b><span style=\"font-weight: 400;\">R&#8217;s ggplot2 and other visualization libraries make it easy to create insightful visualizations of complex AI model outputs.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Specialized Packages: <\/b><span style=\"font-weight: 400;\">R has a vast repository of user-contributed packages (CRAN), many of which are tailored for machine learning and AI:<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">caret: A comprehensive package for machine learning<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">mlr: Machine learning in R<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Keras: R interface to Keras, a high-level neural network API<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Reproducibility<\/b><span style=\"font-weight: 400;\">: R&#8217;s focus on reproducible research aligns well with AI research and development needs.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Integration with Other Languages: <\/b><span style=\"font-weight: 400;\">This best language for AI Programming can be easily integrated with C++, Java, and Python, allowing developers to leverage the strengths of multiple languages.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3><b>4. Julia<\/b><\/h3>\n<p>&nbsp;<\/p>\n<p><b>Why it&#8217;s so well-liked:<\/b><span style=\"font-weight: 400;\"> Julia joins the simplicity of Python with the performance of C++ in problems requiring numerical and scientific computing.<\/span><\/p>\n<p><b>Key Libraries<\/b><span style=\"font-weight: 400;\">: Flux.jl, Knet.jl, and MLJ.jl.<\/span><\/p>\n<p><b>Use Cases:<\/b><span style=\"font-weight: 400;\"> Machine learning, Data Science, High-Performance Numerical Analysis.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-20424 size-full\" src=\"https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/julia-best-programming-languages-for-AI.png\" alt=\"Julia best programming languages for AI - Innotech\" width=\"800\" height=\"428\" srcset=\"https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/julia-best-programming-languages-for-AI.png 800w, https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/julia-best-programming-languages-for-AI-300x161.png 300w, https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/julia-best-programming-languages-for-AI-768x411.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Julia \u2013 One of the best programming languages for AI<\/span><\/i><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">One of the newest programming languages is <\/span><a href=\"https:\/\/julialang.org\/\" target=\"_blank\" rel=\"nofollow noopener\"><b>Julia<\/b><\/a><span style=\"font-weight: 400;\">, and it has been rapidly gaining ground in most areas of <\/span><b>scientific computing, data science, and AI<\/b><span style=\"font-weight: 400;\">. It has combined Python&#8217;s usability with C&#8217;s performance, so it will be an exciting choice for developing AI.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/en.wikipedia.org\/wiki\/Julia_(programming_language)#:~:text=Work%20on%20Julia%20began%20in,post%20explaining%20the%20language&#039;s%20mission.\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">Julia was developed 2009<\/span><\/a><span style=\"font-weight: 400;\"> by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, and Alan Edelman at MIT. Their first public release was in 2012, and the 1.0 version was released in 2018. In effect, development was inspired by wanting to use a high-performance language for ease of use in scientific computing and analysis.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h4><b>Julia Key Features for AI Development<\/b><\/h4>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>High Performance: <\/b><span style=\"font-weight: 400;\">Julia was designed to be high-performance, with execution speed comparable to C and Fortran in many cases. This makes it suitable for computationally intensive AI tasks.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Dynamic Programming<\/b><span style=\"font-weight: 400;\">: While C++ is statically typed, this best language for AI Programming is dynamically typed. This makes it much more flexible and accessible to prototype, similar to Python.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Mathematical Syntax:<\/b><span style=\"font-weight: 400;\"> The syntax of Julia is more particularly suited to mathematical and scientific computing, making it natural to express AI algorithms.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Multiple Dispatch<\/b><span style=\"font-weight: 400;\">: A feature wherein functions can exhibit different behaviors according to their arguments&#8217; types\u2014very powerful for putting in complicated AI algorithms.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>GPU Support<\/b><span style=\"font-weight: 400;\">: Native support for GPU computing in Julia is essential in many deep-learning applications. <\/span><b>Interoperability: <\/b><span style=\"font-weight: 400;\">One can directly call C, Fortran, and Python functions from Julia. Hence, it is immediately at least pretty interoperable with the prevailing AI ecosystems.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3><b>5. C++<\/b><\/h3>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Why it is so popular<\/b><span style=\"font-weight: 400;\">: C++ provides high performance and control of system resources\u2014the hallmark feature required by real-time AI systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Key Libraries:<\/b><span style=\"font-weight: 400;\"> Shark, Dlib, OpenCV.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Use Cases:<\/b><span style=\"font-weight: 400;\"> Development of games, computer vision, and performance-critical applications.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-20427 size-full\" src=\"https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/c-best-programming-languages-for-AI.png\" alt=\"C++ best programming languages for AI - Innotech\" width=\"800\" height=\"455\" srcset=\"https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/c-best-programming-languages-for-AI.png 800w, https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/c-best-programming-languages-for-AI-300x171.png 300w, https:\/\/innotech-vn.com\/wp-content\/uploads\/2024\/07\/c-best-programming-languages-for-AI-768x437.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">C++ \u2013 One of the best programming languages for AI.<\/span><\/i><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The last of the best programming languages for AI we can\u2019t skip is\u00a0 <\/span><a href=\"https:\/\/cplusplus.com\/\" target=\"_blank\" rel=\"nofollow noopener\"><b>C++<\/b><\/a><span style=\"font-weight: 400;\">. This language is a raw, high-performance programming language that becomes critical in developing artificial intelligence \u2014 especially when speed and efficiency are necessary.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Certainly not as commonly used as Python for AI prototyping, it is the language of choice when<\/span><b> laying down computationally heavy AI algorithms and systems.<\/b><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">C++ was created <\/span><a href=\"https:\/\/en.wikipedia.org\/wiki\/C%2B%2B\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">in 1979<\/span><\/a><span style=\"font-weight: 400;\"> by Bjarne Stroustrup as an extension to the C programming language. The goal was to extend C with some principles of object-oriented programming without losing efficiency or low-level control.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">In all these years, C++ has undergone tremendous evolution. Modern standards, such as C++11, C++14, C++17, and C++20, have added a lot of impressive capabilities in relation to AI developments using C++.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h4><b>C++ Key Features in AI Development\u00a0<\/b><\/h4>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>High Performance: <\/b><span style=\"font-weight: 400;\">Near metal performance is delivered due to C++ in particular requirements for computationally heavy AI tasks, such as developing large neural networks or processing big datasets.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Memory Management:<\/b><span style=\"font-weight: 400;\"> This best language for AI programming gives users excellent control over the allocation and deallocation of memory, which is beneficial in scenarios of artificial intelligence-based optimization in resource-intensive applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Template metaprogramming:<\/b><span style=\"font-weight: 400;\"> This feature enables highly optimized generic code that is useful in implementing efficient AI algorithms working with different data types.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Object-oriented programming, generic: <\/b><span style=\"font-weight: 400;\">C++ allows for a few programming paradigms, thus easing flexibility while designing complex AI systems.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Standard Template Library (STL<\/b><span style=\"font-weight: 400;\">): STL provides efficient implementations of common data structures and algorithms that are useful in many AI tasks.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Multithreading Support<\/b><span style=\"font-weight: 400;\">: C++ greatly supports systems programming in parallelizing AI algorithms through concurrency.<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2><b>Wrapping up &#8211; which are the best programming languages for AI in 2024<\/b><\/h2>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">AI programming is amazing and rewarding in the fact that it affords one a chance to put technical expertise into action when coming up with original solutions to various types of challenges. However, for efficient AI applications, the correct programming language must be chosen.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">There is not one language that makes a perfect fit for all AI projects. Choosing the best language for AI Programming<\/span> <span style=\"font-weight: 400;\">depends on several criteria:\u00a0<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>The requirements of your project<\/b><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>How easy it is to use<\/b><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>The availability of needed libraries and frameworks\u00a0<\/b><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>How well does it fit with other tools in your tech stack?<\/b><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Suppose one needs expert support for one&#8217;s AI projects. In that case, Innotech Vietnam opens access to a team of skilled professionals in essential programming languages such as JavaScript, Python, and Java. We ensure the right talent onboard to bring your AI vision to life.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Here at <\/span><a href=\"https:\/\/innotech-vn.com\/vie\/product\/ai\/\" target=\"_blank\" rel=\"noopener\"><b>Innotech Vietnam<\/b><\/a><span style=\"font-weight: 400;\">, we don&#8217;t just serve \u2014 developers are your innovation partners. Our AI solutions transform operations and bring modern applications that run seamlessly across many platforms.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Whether you want to enhance existing AI models or pioneer new applications, our team of experts is dedicated to excellence and your success. We know each AI project differs and will adapt our approach to suit your needs.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Don&#8217;t let the hustle of creating an AI drag your vision to the ground<\/span><a href=\"https:\/\/innotech-vn.com\/vie\/product\/ai\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">. Contact Innotech Vietnam today<\/span><\/a><span style=\"font-weight: 400;\"> and kick-start an AI project to unlock new possibilities for any business you choose.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Looking for the best programming languages for AI? We\u2019ve got the top 5 popular answers that you must try! Believe it or not, one such field that still has roped in the growth phase is artificial intelligence (AI). According to a Grand View Research report, the global artificial intelligence market is expected to reach USD [&hellip;]<\/p>","protected":false},"author":2,"featured_media":20810,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[3959],"tags":[],"yst_prominent_words":[2252,1596,2251,2236],"publishpress_future_action":{"enabled":false,"date":"2024-09-24 02:23:24","action":"draft","terms":[],"taxonomy":"category"},"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/innotech-vn.com\/vie\/wp-json\/wp\/v2\/posts\/20411"}],"collection":[{"href":"https:\/\/innotech-vn.com\/vie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/innotech-vn.com\/vie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/innotech-vn.com\/vie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/innotech-vn.com\/vie\/wp-json\/wp\/v2\/comments?post=20411"}],"version-history":[{"count":4,"href":"https:\/\/innotech-vn.com\/vie\/wp-json\/wp\/v2\/posts\/20411\/revisions"}],"predecessor-version":[{"id":20433,"href":"https:\/\/innotech-vn.com\/vie\/wp-json\/wp\/v2\/posts\/20411\/revisions\/20433"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/innotech-vn.com\/vie\/wp-json\/wp\/v2\/media\/20810"}],"wp:attachment":[{"href":"https:\/\/innotech-vn.com\/vie\/wp-json\/wp\/v2\/media?parent=20411"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/innotech-vn.com\/vie\/wp-json\/wp\/v2\/categories?post=20411"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/innotech-vn.com\/vie\/wp-json\/wp\/v2\/tags?post=20411"},{"taxonomy":"yst_prominent_words","embeddable":true,"href":"https:\/\/innotech-vn.com\/vie\/wp-json\/wp\/v2\/yst_prominent_words?post=20411"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}