pi network digital currency Top Overview

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

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.At the beginning of this year, the Wensheng video Sora released by OpenAI and Kimi, an intelligent assistant launched by Dark Side of the Moon earlier, quickly circled, which set off a wave of AI film and television applications. In the same month, ByteDance's Volcano Engine Bean Bag video released the PixelDance generation model, which has been tested in a small scale. At the Digital Technology Ecology Conference held in early December, China Telecom released a large model of Wensheng video.Compared with traditional chips, AI chips have more efficient parallel computing capability, powerful floating-point computing capability, power consumption and energy saving performance, and low latency. The existence of AI chip can meet the requirements of large-scale data processing and complex model training. AI chips also have a downstream industrial chain. A large number of enterprises apply AI chips to smart phones and smart devices, self-driving cars, data centers and cloud computing, edge computing and the Internet of Things. With the expansion of application scenarios, AI chips will also play an increasingly important role in the future wave of technology.

Compared with traditional chips, AI chips have more efficient parallel computing capability, powerful floating-point computing capability, power consumption and energy saving performance, and low latency. The existence of AI chip can meet the requirements of large-scale data processing and complex model training. AI chips also have a downstream industrial chain. A large number of enterprises apply AI chips to smart phones and smart devices, self-driving cars, data centers and cloud computing, edge computing and the Internet of Things. With the expansion of application scenarios, AI chips will also play an increasingly important role in the future wave of technology.AI application explosion! The development of AI technology has brought new development opportunities to various industries.In the future, we hope to see the integration of reality and reality and a new teaching paradigm of "teacher, student and machine" interaction.