Google has learned to predict weather changes accurate to the minute

Sudden rain can spoil outdoor recreation or make you reconsider your plans. Therefore, people follow weather forecasts. However, even forecasters are not always able to accurately predict the behavior of the elements. According to representatives of Google, the use of neural networks will help humanity get a more accurate summary of the weather forecast in almost real-time.

Sudden rain can spoil outdoor recreation or make you reconsider your plans. Therefore, people follow weather forecasts. However, even forecasters are not always able to accurately predict the behavior of the elements. According to representatives of Google, the use of neural networks will help humanity get a more accurate summary of the weather forecast in almost real-time.

According to 4pda.ru, during testing they managed to generate precipitation forecasts with an accuracy of 1 kilometer six hours earlier than using traditional methods. Moreover, if the AI ​​predicted rain, then the time of precipitation coincided up to a minute.

In multiple experiments, radar data were used to predict precipitation. The main advantage of the Google approach is the speed of forecasting. In addition, unlike the neural method of analysis, the traditional one requires the daily processing of hundreds of terabytes of data on super-powerful computers, which makes increasing the frequency of making forecasts extremely costly.

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