1. Personalized recommendation: Artificial intelligence application based on clustering and collaborative filtering technology, based on massive data mining, establishes a recommendation model by analyzing users' historical behaviors, and actively provides users with information matching their needs and interests. It can not only quickly locate the required products for users, weaken users' passive consumption consciousness, enhance users' interest and retain stickiness, but also help businesses to quickly drain, identify user groups and positioning, and do a good job in product marketing.
2. Face recognition: Biometric identification technology based on human facial feature information. The technologies involved in face recognition mainly include computer vision and image processing. ?
3. Driverless car: a kind of smart car, which mainly relies on the intelligent driving controller with computer system in the car to realize driverless driving.
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, the machine can correct test papers and answer questions, improve pronunciation through voice recognition, and answer questions online through human-computer interaction. The combination of artificial intelligence and education can, to some extent, solve the problems of unbalanced distribution and high cost of teachers in the education sector, and provide more effective learning methods for teachers and students from the tool level. However, it cannot have a greater impact on educational content.