Shulou(Shulou.com)06/02 Report--

The content of this article mainly focuses on how to compare the advantages and disadvantages of common AI programming language. the content of the article is clear and clear, which is very suitable for beginners to learn and is worth reading. Interested friends can follow the editor to read together. I hope you can get something through this article!

Artificial intelligence programming is a kind of technological improvement, which brings high efficiency and maximum benefit to the operation of different companies and people's lives. Artificial intelligence has brought another intelligent technology to different industries, and the prospect of its potential is still growing. It is expected that it can reach human wisdom. This is because developers are willing to explore, test and implement their capabilities to meet more human and organizational needs. After all, demand is the mother of invention.

As in the development of most software applications, developers can write AI in a variety of languages. However, there is no programming language that can be used in artificial intelligence. The development process depends on the required functionality of the AI application being developed. So far, AI has implemented biometric intelligence, autopilot for self-driving cars, and other applications that require different artificial intelligence coding languages for its development projects.

We love AI programming and check out our AI and neural network-based handwritten character recognition application case studies. The debate about the AI programming language will never stop. Therefore, we decided to compare the languages we typically use in artificial intelligence projects to outline the advantages and disadvantages of each language.

Java,Python,Lisp,Prolog and C + + are the main AI programming languages for artificial intelligence, which can meet the different needs of different software development and design. Developers can choose which AI language meets the required functionality and features of the application.

Therefore, the following is designed to provide you with an appropriate artificial intelligence programming language. It answers the question, "what is the language for artificial intelligence?"

1. Python

Python is one of the favorite programming languages for developers in AI development because of its syntax simplicity and versatility. Python is very encouraging for developers' machine learning because it is less complex than C + + and Java. It is also a very portable language because it is used on platforms such as Linux,Windows,Mac OS and UNIX. It also has interactive, interpretive, modular, dynamic, portable and advanced features that make it more unique than Java.

In addition, Python is a multi-paradigm programming that supports object-oriented, programming, and functional programming styles. Because of its simple function library and more ideal structure, Python supports the development of neural networks and NLP solutions.

Advantages

Python has a rich variety of libraries and tools.

Support algorithm testing without having to implement them.

Python, which supports object-oriented design, improves programmers' productivity.

Compared with Java and C + +, Python is developed faster.

Shortcoming

Developers who are accustomed to using Python find it difficult to adapt to a completely different syntax when trying to program AI in other languages.

Unlike C + + and Java, python works with the help of an interpreter, which slows compilation and execution in AI development.

Not suitable for mobile computing. For AI, which means mobile applications, Python is not suitable because of its weak mobile computing language.

II. C++

C + + is the fastest computer language and its speed is very useful for time-sensitive AI programming projects. It provides faster execution speed and shorter response time, and is suitable for the development of search engines and computer games. In addition, C + + allows extensive use of algorithms and is effective in using statistical AI techniques. Another important factor is that C + + supports the reuse of programs in development due to inheritance and data hiding, thus saving time and cost.

C + + is suitable for machine learning and neural networks.

Advantages

Suitable for finding solutions to complex AI problems.

Rich collection of library functions and programming tools.

C + + is a multi-paradigm programming that supports object-oriented principles, so it can be used to implement organized data.

Shortcoming

Poor multitasking ability; C + + is only suitable for implementing the core or foundation of a particular system or algorithm.

Therefore, it follows a bottom-up approach and is very complex, making it difficult for novice developers to use it to write AI programs.

III. Java

Java is another programming language that can answer, 'which computer language is used for artificial intelligence?' Java is also a multi-paradigm language that follows the principles of object orientation and write-read / run (WORA). It is an AI programming language that can run on any platform that supports it without recompiling.

Java is one of the most commonly used, not just AI development. In addition to their few tools, it gets the main parts of its syntax from C and C +. Java is suitable not only for NLP and search algorithms, but also for neural networks.

Advantages

Very portable; because of virtual machine technology, it is easy to implement on different platforms.

Unlike C + +, Java is easy to use or even debug.

There is an automatic memory manager that simplifies the work of developers.

Shortcoming

However, Java is slower than C + +, its execution is slower and its response time is longer.

Although it is highly portable on advanced platforms, Java requires significant changes in software and hardware.

Java is also a generally immature programming AI language, as there are still some ongoing developments, such as JDK 1.1 beta.

IV. LISP

LISP is another language for artificial intelligence development. It is a family of computer programming languages and the second oldest programming language after Fortran. Over time, LISP has developed into a powerful and dynamic language in coding.

Some people think that LISP is the best AI programming language because it provides developers with a free favor. LISP is used in AI because of its flexibility in rapid prototyping and experimentation, which helps LISP grow into a standard AI language. For example, LISP has a unique macro system that helps to explore and implement different levels of intelligence.

Unlike most AI programming languages, LISP is more efficient at solving specific problems because it meets the needs of solutions written by developers. It is very suitable for inductive logic projects and machine learning.

Advantages

Coding is fast and efficient because it is supported by the compiler rather than the interpreter.

The automatic memory manager was invented for LISP, so it has garbage collection capabilities.

LISP provides specific control over the system to make the most of them.

Shortcoming

Few developers are familiar with Lisp programming.

As a retro programming language of artificial intelligence, LISP needs to configure new software and hardware to adapt to its use.

5. Prolog

Prolog is also one of the oldest programming languages, so it is also suitable for the development of programming AI. Like Lisp, it is the main computer language of artificial intelligence. It has a mechanism to promote flexible frameworks that developers like to use. It is a rule-based declarative language because it contains facts and rules that define its artificial intelligence coding language.

Prolog supports basic mechanisms such as pattern matching, tree-based data structure, and automatic backtracking, which is essential for AI programming. In addition to being widely used in AI projects, Prolog is also used to create health care systems.

Advantages

Prolog has a built-in list processing that represents a tree-based data structure.

Rapid prototyping is done efficiently so that AI programs often release modules.

Allows you to create a database while running the program.

Shortcoming

Although prolog is old, it is not yet fully standardized because some features are different in implementation, making the work of developers cumbersome.

In terms of maintaining technological development, everyone, business personnel and organizations do not want to be left behind. The emergence of artificial intelligence technology has brought changes that will infiltrate into the core of our lives, so understanding and using artificial intelligence technology will be the biggest strategy at present.

Thank you for your reading. I believe you have some understanding of "how to compare the advantages and disadvantages of common AI programming languages". Go ahead and practice it. If you want to know more about it, you can follow the website! The editor will continue to bring you better articles!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.