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New Innovations Aimed At Unlocking Potential Of AI For Growth, Says Huawei Cloud CEO

by Bukola Idowu
2 years ago
in News
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Chief executive officer of Huawei Cloud, Zhang Ping’an, has disclosed that the unveiling of Pangu Model 3.0 and Ascend AI Cloud services was aimed at empowering industry customers and partners while also unlocking the potential of artificial intelligence (AI) for transformative growth across a range of sectors.

Ping’an made this known while delivering his keynote remarks at Huawei’s Developer Conference held recently in China.

According to him, the new innovations was targeted at bringing forth new industry opportunities and technological advancements driven by the AI wave.

“Huawei Cloud Pangu models will empower everyone from every industry with an intelligent assistant, making them more productive and efficient. We will uphold our mission of AI for Industries, and use Pangu models to reshape all industries with AI,” he said.

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Pangu Models 3.0 is a system of pre-trained models that can be quickly adapted to meet scenario-specific needs and address complex challenges across multiple industries. By leveraging large-scale data sets and machine learning algorithms, Pangu 3.0 is set to revolutionize the industrial application of AI in diverse areas such as weather forecasting, drug development, fault identification in trains, and the mining industry.

Pangu Weather is the first AI prediction model to demonstrate higher precision than traditional numerical weather forecast methods. The model allows a 10,000x improvement in prediction speed, reducing global weather prediction time to just seconds. The model focuses on key elements and common time ranges, allowing for more precise weather forecasts. Notably, it has accurately predicted the trajectories and landing times of typhoons, including the recent Typhoon Mawar in May this year, demonstrating its exceptional capabilities.

On July 18, Huawei and Shandong Energy Group launched the first commercial case of Pangu Mining Model in Jinan, Shandong province.


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