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What are the artificial intelligence technologies?
Machine learning is a science that can make computers act without programming. Deep learning is a subset of machine learning. In very simple terms, it can be regarded as the automation of predictive analysis. There are three types of machine learning algorithms: supervised learning, in which data sets are labeled and detection patterns can be used to label new data sets. Nbsp; There is no supervised learning. In supervised learning, data sets are unmarked, and they are sorted according to similarities and differences &; Nbsp and reinforcement learning, in which the data set is not labeled, but after performing an action or several actions, AI & Nbsp;; The system is feedback.
Machine vision is a science for computers to see. Machine vision uses cameras, analog-to-digital conversion and digital signal processing to capture and analyze visual information. It is usually compared with human vision, but it is not limited by biology and can be programmed to see through the wall. It is used in various applications from signature recognition to medical image analysis. Computer vision focusing on machine image processing is usually confused with machine vision.
Natural language processing (NLP) is not a computer language, but a computer program dealing with human beings. One of the early and famous examples of NLP is spam detection, which looks at the subject line and the text of an electronic message to determine whether it is spam. The current NLP methods are all based on machine learning. NLP tasks include text translation, sentiment analysis and speech recognition.
Model recognition is a branch of machine learning, which focuses on identifying models in data.
Robotics is an engineering field, focusing on the design and manufacture of robots. Robots are usually used for tasks that are difficult for humans to perform or are difficult to perform continuously. Automobile production lines and NASA moving large objects in the universe. Recently, researchers are using machine learning to build a robot that can interact in a social environment.
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