With the increase in climate change, global precipitation estimates have become a necessity for predicting water-related ...

Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate ...

MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, have developed a quantum algorithm technology for deep convolutional neural network (CNN) exchange submissions, ...

They may not understand percent chance of rain, limitations of weather Apps, or other metrics of uncertainty. There is also a tendency to latch on to the rare bad forecast and overlook the more ...

By utilizing unstructured meshes, fewer than 5% of the computational elements of high-resolution ... virtual stations that correspond to the center of the 2.5 km GEM numerical weather prediction ...

Numerical weather prediction (NWP) systems use large amounts of observational data gathered daily using satellite-based and ground-based instruments to make forecasts, but maintaining them is costly ...

Climate change is making extreme weather events worse, empowering meteorological phenomena such as storms, hurricanes, heat waves, and droughts. Against this backdrop, numerical weather predictions ...