Researchers have developed a machine learning model, the CSU-MLP, capable of accurately predicting hazardous weather events such as tornadoes and hail four to eight days in advance. The team has collaborated with the national Storm Prediction Center to test and refine the model, enhancing forecasters’ confidence in their predictions and potentially saving lives.
“Our statistical models can benefit operational forecasters as a guidance product, not as a replacement,” Hill said. CSU Ph.D. student Allie Mazurek discusses the CSU-MLP with forecaster Andrew Moore. Credit: Provided/Allie MazurekThe model is trained on a very large dataset containing about nine years of detailed historical weather observations over the continental U.S. These data are combined with meteorological retrospective forecasts, which are model “re-forecasts” created from outcomes of past weather events.
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Machine Learning Expert Calls for Bombing Data Centers to Stop Rise of AIOne of the world's loudest AI e critics has issued a stark call to not only put a pause on it but to militantly put an end to it all — before it ends us. Haha, plus c’est gros, plus ça passe ! Sinon, vous direz quoi pour votre défense d’avoir relayé ce genre d’élucubrations quand un illuminé aura fait sauter un datacenter ? Ps : le premier avril c’est demain hein 😉
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