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

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 ...

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 ...

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 ...

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 ...

It’s what is going on behind-the-scenes at Dark Sky, which is experimenting with machine learning and UX that could radically alter how we view and understand the weather.

Tomorrow.io’s plan is to create a new space-based radar infrastructure with a modern twist. Its satellites are small (only 85 kilograms) and use the Ka-band exclusively.