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The four main application 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, techniques, and application systems for simulating, extending, and expanding human intelligence. It is a branch of computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing, expert systems, etc.

  Let's take a closer look at the four main application areas of artificial intelligence.

  01. Voiceprint recognition

  There are many kinds of biometric recognition technologies. In addition to face recognition, voiceprint recognition is currently used more. Voiceprint recognition is a biometric authentication technology, also known as speaker recognition, including speaker identification and speaker confirmation. The working process of voiceprint recognition is that the system collects the speaker's voiceprint information and records it in the database. When the speaker speaks again, the system will collect this voiceprint information and automatically compare it with the existing voiceprint information in the database. , so as to identify the speaker's identity.

  Compared with traditional identification methods (such as keys and certificates), voiceprint recognition has the characteristics of anti-forgetting and remote authentication. Under the technical means of existing algorithm optimization and random password, voiceprint can also effectively prevent recording, Anti-synthesis, therefore high security, fast response, and accurate identification. At the same time, compared with biometric recognition technologies such as face recognition and iris recognition, voiceprint recognition technology has the characteristics of collecting the user's voiceprint characteristics through telephone channels, network channels, etc., so it has great advantages in remote identity confirmation. . At present, voiceprint recognition technology has many application cases such as voiceprint core body, voiceprint lock, and blacklist voiceprint database, which can be widely used in finance, security, smart home, and other fields, with rich landing scenarios.

  02. Face Recognition

  Face recognition, also known as portrait recognition and facial recognition, is a biometric technology that identifies people based on facial feature information. The technologies involved in face recognition mainly include computer vision, image processing, etc.     The research on face recognition systems began in the 1960s, and after that, with the development of computer technology and optical imaging technology, the level of face recognition technology was continuously improved in the 1980s. In the late 1990s, face recognition technology entered the primary application stage. At present, face recognition technology has been widely used in many fields, such as finance, justice, public security, border inspection, aerospace, electricity, education, medical care, etc.

  03. Machine Translation

  Machine translation is a branch of computational linguistics, which is the process of using computers to convert one natural language into another natural language. The technology used in machine translation is mainly Neural Machine Translation (NMT), which currently outperforms humans in many languages. With the acceleration of economic globalization and the rapid development of the Internet, the value of machine translation technology in promoting political, economic, and cultural exchanges has become prominent, and it has also brought many conveniences to people's lives.

  04. Driverless cars

  A driverless car is a type of smart car, also known as a wheeled mobile robot. It mainly relies on the intelligent driving controller based on the computer system in the car to achieve unmanned driving. The technologies involved in unmanned driving include many aspects, such as computer vision, automatic control technology, etc. In recent years, with the rise of the artificial intelligence wave, unmanned driving has become a hot topic, and many companies at home and abroad have invested in the research of automatic driving and unmanned driving. However, in the past two years, it has been found that the complexity of autonomous driving is far greater than expected a few years ago, and there is still a long way to go before it can be truly commercialized.

  In addition, there are still many fields of artificial intelligence application, which need to be explored continuously. I believe that as long as there are enough usage scenarios, more refined algorithms, sufficient computing power, and a huge amount of data, the application of artificial intelligence The fields will only increase, and the impact on our daily lives will increase.

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