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From 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.From 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 refers to the use of AI technology to enhance and improve the efficiency and quality of education. AI education includes personalized learning content push, intelligent teaching, auxiliary evaluation, special education, educational resource management, virtual reality (VR) and augmented reality (AR), evaluation and feedback automation, and intelligent tutoring system. The application of AI technology is gradually conceiving the traditional teaching mode, which brings more opportunities and challenges to schools and teachers. In fact, many universities have designed many achievements in AI+ higher education. For example, Beijing University of Posts and Telecommunications's big model-enabled intelligent programming teaching application platform "code", Beijing Normal University's innovative "AI+" classroom teaching intelligent evaluation, and Huazhong University of Science and Technology's intelligent academic early warning and collaborative assistance mechanism.

In the future, we hope to see the integration of reality and reality and a new teaching paradigm of "teacher, student and machine" interaction.Concept stocks: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.

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