EurekAlert February 4, 2020
Researchers at Rice University have created a deep learning computer system called “capsule neural network”. During training, it examines hundreds of pairs of maps. Each map shows surface temperatures and air pressures at five-kilometers height, and each pair shows those conditions several days apart. The training includes scenarios that produced extreme weather — extended hot and cold spells that can lead to deadly heat waves and winter storms. Once trained, the system was able to examine maps it had not previously seen and make five-day forecasts of extreme weather with 85% accuracy…read more. Open Access TECHNICAL ARTICLE