What are the application areas of artificial intelligence?

Artificial intelligence has roughly 10 directions of application: 1, personalized recommendation; 2, face recognition; 3, driverless cars; 4, intelligent customer service chatbots; 5, machine translation; 6, medical image processing; 7, image search; 8, voiceprint recognition; 9, intelligent outbound robots; 10, smart speakers.

1, personalized recommendation: artificial intelligence applications based on clustering and collaborative filtering technology, which is built on the basis of massive data mining, through the analysis of the user's historical behavior to establish a recommendation model, and actively provide users with information that matches their needs and interests, not only for the user to quickly locate the needs of the product, weakening the user's awareness of passive consumption, to enhance the user's excitement and retention of adhesion, but also to help businesses to quickly attract traffic, find the right place. Help businessmen to attract traffic quickly, find the user groups and positioning, and do a good job of product marketing.

2, face recognition: a biometric technology based on human facial features information for identification. Face recognition involves technology mainly includes computer vision, image processing, etc.?

3, driverless car: a kind of intelligent car, mainly relying on the car to computer system-based intelligent driving controller to realize driverless.

4, education

Companies such as iFlytek and General Education have begun to explore the application of artificial intelligence in the field of education. Through image recognition, test papers can be corrected and answered by machines, pronunciation can be improved through voice recognition, and human-computer interaction can be used to answer questions online. The combination of AI and education can improve the imbalance and high cost of teacher distribution in the education sector to a certain extent, and provide teachers and students with more effective learning methods at the tool level. However, it cannot have a more substantial impact on the content of education.