Is this Chinese AI model a seismic change in earthquake prediction?
- Using massive amounts of data, researchers have come up with technology that they say can detect tremors quicker and more accurately
The model, called “DiTing”, is based on one of the biggest data sets of its kind in the world and can be used to spot earthquake signals, monitor seismic activity and support rapid responses to earthquakes, according to its developers.
“DiTing relies on massive amounts of data from the China Earthquake Observation Network and advanced artificial intelligence technology and has significantly improved the accuracy and speed of seismic signal recognition,” Chen Shi, deputy director of the China Earthquake Administration’s Institute of Geophysics, said at the model’s launch in the southwestern city of Chengdu on Sunday.
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The project is a joint effort by the National Supercomputing Centre in Chengdu, the institute and Tsinghua University.
It takes its name from a divine beast in Chinese Buddhism that can pick up signals from across the universe.
The supercomputing centre said it was the first time seismic information had been amassed on such a scale to train artificial intelligence in China, overcoming the limits of conventional or smaller models.
In all, the model can already assess 100 million parameters – or variables – to make predictions or decisions – and that total is expected to reach a billion in August, state-run Science and Technology Daily quoted the centre’s chairman, Guo Li, as saying.
