What are the two research areas of artificial intelligence?

Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

Artificial intelligence is a branch of computer science that attempts to understand the nature of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robots, Language recognition, image recognition, natural language processing and expert systems, etc.

Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application fields have also continued to expand. It can be imagined that the technological products brought by artificial intelligence in the future will be the "containers" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like humans and may even exceed human intelligence.

Artificial intelligence is a very challenging science, and people engaged in this work must understand computer knowledge, psychology and philosophy. Artificial intelligence is a very broad science, which consists of different fields, such as machine learning, computer vision, etc. Generally speaking, a main goal of artificial intelligence research is to make machines capable of tasks that usually require human intelligence. Complex work.

The two research areas of artificial intelligence are pattern recognition (Pattern Recognition) and natural language understanding (NLU, Natural Language Understanding).

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Pattern Recognition (English: Pattern Recognition)

is used through the computer Mathematical technical methods to study the automatic processing and interpretation of patterns. We call the environment and objects collectively "patterns."

With the development of computer technology, it is possible for humans to study complex information processing processes. An important form of information processing is the recognition of the environment and objects by living entities. Of particular importance to humans is the recognition of optical information (obtained through the visual organ) and acoustic information (obtained through the auditory organ).

These are two important aspects of pattern recognition. Representative products that can be seen on the market include optical character recognition and speech recognition systems.

Pattern recognition refers to the processing and analysis of various forms of information (numerical, textual and logical) that represent things or phenomena to describe, identify, classify and explain things or phenomena. The process is an important part of information science and artificial intelligence.

Natural Language Processing (NLP, Natural Language Processing)

is a technology that uses natural language to communicate with computers, because the key to processing natural language is to let the computer " Understand "natural language", so natural language processing is also called natural language understanding (NLU, Natural Language Understanding), also called computational linguistics (Computational Linguistics). On the one hand, it is a branch of language information processing, and on the other hand, it is one of the core topics of artificial intelligence (AI, Artificial Intelligence).

Natural Language Understanding is commonly known as human-computer dialogue. A branch of artificial intelligence. Research on using electronic computers to simulate the human language communication process, so that computers can understand and use the natural languages ​​of human society, such as Chinese and English, to realize natural language communication between humans and machines, to replace part of human mental work, including querying information, Answer questions, extract documents, compile information, and process all natural language information. This occupies a very important position in the current wave of new technological revolution. One of the main goals of developing the fifth generation of computers is to enable computers to understand and use natural language.

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