blockchain vs crypto- Top Top stories

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.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.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.

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