Where are the most widely used fields of computers?

The most widely used field of computers is process control. Computer application fields include scientific computing [numerical calculations], process control [process inspection], information management [data processing], auxiliary systems, artificial intelligence, language translation, etc.

#The most widely used field of computers is process control.

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Computer application field:

Scientific computing (or numerical calculation)

Early Computers are primarily used for scientific computing. Scientific computing remains an important area of ​​computer applications. Such as high energy physics, engineering design, earthquake prediction, weather forecast, aerospace technology, etc. Because computers have high computing speed, precision, and logical judgment capabilities, new disciplines such as computational mechanics, computational physics, computational chemistry, and biocybernetics have emerged.

Process Inspection and Control

Use computers to automatically detect certain signals in the industrial production process, store the detected data in the computer, and then process the data as needed. The system is called a computer detection system. In particular, the intelligent instruments and meters formed after the introduction of computer technology have pushed industrial automation to a higher level.

Information management (or data processing)

Information management is the most widely used field of computers. Use computers to process, manage and operate any form of data, such as enterprise management, material management, report statistics, account calculations, information retrieval, etc. Many domestic institutions have built their own management information systems (MIS); manufacturing enterprises have also begun to use manufacturing resource planning software (MRP), and the commercial circulation field is gradually using electronic information exchange systems (EDI), which is the so-called paperless trade.

Auxiliary system

Computer-aided design, manufacturing, and testing (CAD/CAM/CAT). Use computers to assist in engineering design, product manufacturing, and performance testing. ①Economic management: national economic management, company and enterprise economic information management, planning and planning, analysis and statistics, forecasting, decision-making; material, financial, labor, personnel, etc. management. ②Information retrieval: Automation of information retrieval of books, historical archives, scientific and technological resources, environment, etc.; establishment of various information systems. ③Automatic control: comprehensive automation of industrial production processes, optimal control of technological processes, weapons control, communication control, and traffic signal control. ④Pattern recognition: Use computers to identify and classify a set of events or processes. They can be concrete objects such as text, sound, and images, or abstract objects such as states and degrees.

Artificial Intelligence

Develop some application systems with certain human intelligence, use computers to simulate human thinking judgment, reasoning and other intelligent activities, so that computers have the functions of self-learning adaptation and logical reasoning , such as computer reasoning, intelligent learning systems, expert systems, robots, etc., to help people learn and complete certain reasoning tasks.

Language Translation

In 1947, American mathematician and engineer Warren Weaver and British physicist and engineer Andrew Booth proposed computer translation (referred to as "machine translation" ), machine translation has since entered the stage of history and has gone through a tortuous and long development path. Machine translation is divided into text machine translation and speech machine translation. Machine translation eliminates the barriers between different texts and languages, which can be regarded as a high-tech move that benefits mankind. However, the quality of machine translation has been a problem for a long time, especially the quality of translation, which is still far from the ideal goal. Professor Zhou Haizhong, a Chinese mathematician and linguist, believes that it is impossible for machine translation to achieve the level of "faithfulness, expressiveness, and elegance" when humans have not yet understood how the brain performs fuzzy recognition and logical judgment of language. This view may reveal the bottleneck that restricts the quality of translations.

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