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Huawei's R&D spirit! On July 6, at the 2023 World Artificial Intelligence Opening Conference, Huawei Ken Hu proposed that the next focus of work is to deepen computing power and industry large models

author:Mai Mai Mang

Huawei's R&D spirit! On July 6, at the 2023 World Artificial Intelligence Opening Conference, Ken Hu of Huawei proposed that the next focus of work is to deepen computing power and industry large models, so that Huawei's artificial intelligence can go deeper and deeper.

According to Jiupai reports, on the 7th of this month, at the Huawei developer conference, HUAWEI CLOUD threw a "depth charge" - Pangu Model 3.0.

The so-called Pangu opened the world, this time Huawei really showed the momentum of opening the world. This time Huawei's Pangu large model can be described as a stone stirring up a thousand waves, which immediately attracted widespread attention. It is reported that Pangu Model 3.0 includes drug molecules, Pangu meteorology and wave models, Pangu meteorological large model, is the first AI model with an accuracy beyond traditional numerical prediction methods, can provide full Q meteorological second-level forecasting, can predict the future full Q weather situation within a few seconds, and fast and accurate.

Let's say the truth. Huawei, which has survived multiple rounds of US sanctions, continues to maintain 25% of its annual R&D investment, and this kind of technology enterprise with dedicated research and pragmatic innovation is worthy of admiration.

#华为云正式发布盘古大模型3.0#

Huawei's R&D spirit! On July 6, at the 2023 World Artificial Intelligence Opening Conference, Huawei Ken Hu proposed that the next focus of work is to deepen computing power and industry large models
Huawei's R&D spirit! On July 6, at the 2023 World Artificial Intelligence Opening Conference, Huawei Ken Hu proposed that the next focus of work is to deepen computing power and industry large models
Huawei's R&D spirit! On July 6, at the 2023 World Artificial Intelligence Opening Conference, Huawei Ken Hu proposed that the next focus of work is to deepen computing power and industry large models

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