Better and better forecasting

A recent paper published in Nature documented a new artificial intelligence (AI) system —Pangu-Weather —that can perform forecasts as accurately (or better) than leading meteorological agencies up to 10,000 times faster. 

It was trained on 39 years of historical data. The speed of these forecasts would make them much cheaper to run and could provide much better results for countries with limited budgets.


Sensor-carrying drones can run surveys over specific areas to build higher-resolution maps. 

With lower-cost and more efficient ways of turning that into forecasts, mobile technologies can disseminate this information quickly. 

Some companies are already sending messages to farmers in low-income countries to advise them on the best time to plant their crops.

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