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🔹A Neural Weather Model for Eight-Hour Precipitation Forecasting
Predicting weather from minutes to weeks ahead with high #accuracy is a fundamental scientific challenge that can have a wide ranging impact on many aspects of society. Current forecasts employed by many meteorological agencies are based on physical models of the atmosphere that, despite improving substantially over the preceding decades, are inherently constrained by their computational requirements and are sensitive to approximations of the physical laws that govern them. An alternative approach to weather prediction that is able to overcome some of these constraints uses deep neural networks (#DNNs): instead of encoding explicit physical laws, DNNs discover #patterns in the #data and learn complex transformations from inputs to the desired outputs using parallel computation on powerful specialized hardware such as #GPUs and #TPUs.
📌Via: @cedeeplearning
link: https://ai.googleblog.com/
#deeplearning
#neuralnetworks
#machinelearning
Predicting weather from minutes to weeks ahead with high #accuracy is a fundamental scientific challenge that can have a wide ranging impact on many aspects of society. Current forecasts employed by many meteorological agencies are based on physical models of the atmosphere that, despite improving substantially over the preceding decades, are inherently constrained by their computational requirements and are sensitive to approximations of the physical laws that govern them. An alternative approach to weather prediction that is able to overcome some of these constraints uses deep neural networks (#DNNs): instead of encoding explicit physical laws, DNNs discover #patterns in the #data and learn complex transformations from inputs to the desired outputs using parallel computation on powerful specialized hardware such as #GPUs and #TPUs.
📌Via: @cedeeplearning
link: https://ai.googleblog.com/
#deeplearning
#neuralnetworks
#machinelearning