What programming language is used for artificial intelligence?

Since AlphaGo has beaten all the chess players in the world without any opponent, artificial intelligence has been unrivaled in the limelight. At the just past IT Leaders Summit, the three BAT bosses were optimistic about the future development of artificial intelligence. At the beginning of this year, Baidu made a big move and bet on artificial intelligence in medical care. Therefore, at this summit, Robin Li also stated that the Internet is an appetizer and artificial intelligence is the main course.

Artificial intelligence is a very broad field, and many programming languages ​​can be used for artificial intelligence development, so it is difficult to say which language must be used to develop artificial intelligence. Having more choices also means there are pros and cons, and not every programming language can save developers time and energy. So we have compiled 5 programming languages ​​that are more suitable for artificial intelligence development, hoping to be helpful to you.

Python

Python is one of the most widely used programming languages ​​in the field of artificial intelligence due to its simplicity and ease of use. It can be seamlessly integrated with data structures and other commonly used used together with AI algorithms.

The reason why Python is used in AI projects is actually based on Python. Many useful libraries can be used in AI, such as

Numpy provides scientific computing capabilities, Scypy’s advanced computing and Pybrain’s Machine learning.

In addition, Python has a large number of online resources, so the learning curve is not particularly steep.

Recommended courses: Python Tutorial.

Java

#Java is also a good choice for AI projects. It is an object-oriented programming language that focuses on providing all the advanced features required on AI projects, it is portable, and it provides built-in garbage collection. In addition, the Java community is also a plus. A complete and rich community ecosystem can help developers query and solve problems anytime and anywhere.

For AI projects, algorithms are almost the soul. Whether it is a search algorithm, a natural language processing algorithm or a neural network, Java can provide a simple coding algorithm. In addition, Java’s scalability is also one of the necessary features for AI projects.

Lisp

Lisp has emerged in the field of AI due to its excellent prototyping capabilities and support for symbolic expressions. As a language designed for artificial intelligence, LISP is the first declarative functional programming language, which is different from imperative procedural C, Fortran and object-oriented structured programming languages ​​such as Java and C#. .

Lisp language is mainly used in the machine learning/ILP subfield because of its usability and symbolic structure. In his book "Artificial Intelligence: A modern approach", the famous AI expert Peter Norvig explains in detail why Lisp is one of the top programming languages ​​for AI development. Interested friends can check it out by themselves.

Prolog

Prolog is comparable to Lisp in terms of usability. According to the article "Prolog Programming for Artificial Intelligence", Prolog is a logic programming language, mainly for some basic Mechanism for programming, which is very effective for AI programming. For example, it provides pattern matching, automatic backtracking and tree-based data structuring mechanisms. Combining these mechanisms can provide a flexible framework for AI projects.

Prolog is widely used in AI expert systems and can also be used in medical project work.

C

C is the world’s fastest programming language, and its ability to communicate at the hardware level allows developers to improve program execution times. C is time-sensitive, which is very useful for AI projects, for example, search engines can use C extensively.

In AI projects, C can be used for statistics, such as neural networks. In addition, algorithms can also be widely and quickly executed in C. The AI ​​in the game is mainly coded in C for faster execution and response time.

Summary:

In fact, choosing a programming language for the artificial intelligence AI project depends largely on the sub-field. For programming The choice of language should start from the overall situation and not only consider some functions. Among these programming languages, Python is gradually becoming the number one AI programming language because it is suitable for most AI sub-fields. Lisp and Prolog are effective in some AI projects because of their unique functions, and their status is temporarily difficult to achieve. shake. The advantages of Java and C will continue to be maintained in AI projects.

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