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Take intelligent driving as an example. In the process of intelligent driving, under the machine learning and deep learning, the AI algorithm has the driving strategy of the vehicle. AI algorithm can predict the trajectory of other vehicles by further processing and analyzing the perceived information. At the same time, according to the analysis of the current situation of the vehicle, the next step is completed by controlling braking, acceleration and steering.In the future, we hope to see the integration of reality and reality and a new teaching paradigm of "teacher, student and machine" interaction.This article does not constitute specific investment advice, investment is risky, and you need to be cautious when entering the market.

Ai+transportationFrom AI-generated pictures to AI-generated videos, AI technology is deeply digging into the "experimental field" of the film and television industry, and has made remarkable progress. In terms of film and television applications, AI can help film special effects production, lens and script design, advertising creative design, game animation production, news reports, automatic generation of short videos and so on.AI has many applications in the transportation field, including road monitoring, traffic signal optimization, intelligent driving, intelligent parking, intelligent traffic management and traffic safety monitoring.

AI has many applications in the transportation field, including road monitoring, traffic signal optimization, intelligent driving, intelligent parking, intelligent traffic management and traffic safety monitoring.AI+ education