Machine learning algorithms have vastly improved the precision of weather forecasts. These algorithms analyze massive ...

Dr. Hua-Liang Wei, Senior Lecturer (Associate Professor) with CSSP and Co-I of the three-year NERC project, is a well-known expert in nonlinear system identification and interpretable machine learning ...

Some studies have shown that machine learning-based forecast systems can predict general weather patterns as well as numerical weather prediction models while using only a fraction of the ...

Researchers also are embedding machine learning within numerical weather prediction models to speed up tasks that can be intensive to compute, such as predicting how water vapor gets converted to ...

I’m glad the article was useful to you. I guess it was useful to me, because I’ll never ever even try to run a DNN on an Arduino. If an 128 parameter network took 6ms, then it’ll never run ...

Research papers come out far too rapidly for anyone to read them all, especially in the field of machine learning, which now affects (and produces papers in) practically every industry and company ...

New machine learning methods provide a great opportunity to improve our weather and climate prediction capability, through deriving representations of the highly complex processes underlying weather ...

Machine learning models are taking over in the field of weather forecasting, from a quick “how long will this rain last” to a 10-day outlook, all the way out to century-level predictions.