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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.Concept stocks: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.

Concept stocks:Concept stocks: Sichuang Yihui, Weining Health, Chuangye Huikang, Jiuyuan Yinhai, Xiangsheng Medical, Edan Instruments, Runda Medical, Rong Ke Science and Technology, Neusoft Group, Medici, Yaoshi Technology, Yidu Technology, Wanda Information, Donghua Software, Jiameikang, Longma Information, Berry Gene.AI film and television works: In March this year, the first domestic AI mini-drama "China Myth" was broadcast. In September, Aauto Quicker officially announced the launch of the "Keling AI" film co-creation plan, and jointly launched nine short AIGC films with nine directors.

Jingjiawei, Lanqi Technology, Hengshuo, Youboxun, Cambrian, Xinyuan, Quanzhi Technology, Haiguang Information, Zhongke Shuguang, TCL Technology, China Resources Micro, Hangyuwei, Ziguang, Loongson Zhongke.AI+ dianshangTake 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.