According to Kyodo News, the Japanese government has begun to explore mechanisms for identifying and arranging information such as disaster reports and support requests collected by the Center for Disaster Responses in the event of a serious disaster, in order to generate information from the influx of information. The selection of high priority is reflected in the countermeasures.
According to the report, this is a part of trying to realize the sharing of disaster prevention information and database with relevant organizations. Since a large amount of information has flooded through the phone in the event of a disaster, information sorting and sharing have become a problem. In Fukui Prefecture, Japan, the rescue request in the heavy snow this month was not fully transmitted to the relevant parties. The vehicle was buried in the snow and the male died in the car.
In the past two years, the concept of artificial intelligence has been rapidly booming. At the same time that commercial applications have caused extensive discussion, its application in public welfare has also received attention. This is not only the organization and sharing of disaster information, but also the prediction of disasters.
Artificial intelligence expert Wu Enda has recommended a company called One Concern. According to the official introduction, through machine learning, One Concern can accurately predict the impact of each disaster and climate change, as well as their social and economic impact. This can help decision makers make appropriate decisions before, during, and after a disaster event.
In January of this year, the World Bank also launched an artificial intelligence challenge to explore how to use deep learning to obtain valuable data after a natural disaster.
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