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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.This article does not constitute specific investment advice, investment is risky, and you need to be cautious when entering the market.

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AI+ educationIn the future, we hope to see the integration of reality and reality and a new teaching paradigm of "teacher, student and machine" interaction.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.