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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.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.

Gao Xinxing, Yutong Optics, Desai Siwei, Qianfang Technology, Qiming Information, Digital Zhengtong, Jiadu Technology, Siwei Tuxin, Zhonghaida, Wanji Technology, Dahua Co., Huayang Group, Baolong Technology, Jingwei HengrunAI application explosion!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.

Concept stocks:Wanxing Technology, Blue Cursor, Insai Group, Huace Film and Television, Huayang Lianzhong, Tianyue Mathematics, Focus Technology, Xinyada, Kunlun Wanwei, Shengtian Network, Guomai Culture, SDIC Intelligence, Netda Software, Jebsen, Chinese Online, Danghong Technology, Guomai Culture, Shanghai Film, FengyuzhuCompared 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.