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Huawei Pangu AI models for Government, finance, manufacturing, mining, meteorology
Huawei Pangu 3.0 AI models are now launched for various areas including government, finance, manufacturing, mining, and meteorology. It’s time that you explore the use of the Pangu 3.0 Model implication in these key areas.
Editor’s note – If you want to know about Pangu 3.0 model, check the article linked below.
Customers can train their own models using their own datasets based on Huawei’s L0 or L1 Pangu models. You can read more about Pangu model layers here.
Mining Model has been used at eight coal mines in China. A single model can support more than 1,000 sub-scenarios for coal mining, including digging, driving, equipment control, transport, ventilation, coal washing, and more. It helps to build safer, more intelligent coal mines that can run efficiently with just a small underground crew or even no underground crew at all.
Railways, the Pangu Railway Model can accurately identify 67 types of freight cars and over 430 types of faults found on railways and freight cars. It can quickly scan millions of images captured by the railway TFDS system and filter out 95% of the images that are fault-free. This way, train inspectors can focus on the remaining images, and this helps them improve both efficiency and accuracy.
Meteorology, the Pangu Meteorology Model (or Pangu-Weather) is the first AI model to have surpassed state-of-the-art numerical weather prediction (NWP) methods in terms of accuracy. The prediction speed is also several orders of magnitude faster. In the past, predicting the trajectory of a typhoon over 10 days took 4 to 5 hours of simulation on a high-performance cluster of 3,000 servers. Now, the Pangu model can do it in 10 seconds on a single GPU of a single server, and with more accurate results.
Financial services, the Pangu Finance Model, pre-trained on large datasets containing data about bank policies, procedures, and case studies, can automatically generate the correct service workflows and guides for bank tellers based on the customers’ service requests. This helps them handle service requests more efficiently and confidently. Essentially, the Pangu Finance Model has given each bank employee their own personal intelligent assistant.
Manufacturing, in the past, it took more than three hours to develop a one-day parts allocation plan for a single production line. The Pangu Manufacturing Model, pre-trained on data about parts and components, business processes, and rules from Huawei’s own production lines, is capable of accurate intent understanding. By calling the Huawei OptVerse AI Solver plugin, the Pangu model can develop a 3-day production plan in just 1 minute.
Medicine R&D, developing a new drug used to take an average of 10 years and USD 1 billion. Now, the Pangu Drug Molecule Model is able to accelerate lead compound discovery from several years to just one month, reducing drug R&D costs by 70%. Using this model, a team led by Professor Liu Bing of Xi’an Jiaotong University recently discovered a new super antibiotic — the first new antibiotic to be discovered in 40 years, with brand-new protein targets and in a category of its own.
In the near future, Huawei may expand the scope of Pangu AI models to more areas with the upcoming versions.