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Researchers are using various machine-learning strategies to speed up climate modelling, reduce its energy costs and hopefully improve accuracy. Researchers are using various machine-learning strategies to speed up climate modelling, reduce its energy costs and hopefully improve accuracy.
Techniques used in weather forecasting can be repurposed to provide individuals with a personalized assessment of their risk of exposure to COVID-19 or other viruses, according to new research published by Caltech scientists.
MIT faculty from the School of Science and the MIT Schwarzman College of Computing lead one of the Climate Grand Challenges flagship projects “Bringing Computation to the Climate Crisis.”
On Monday, MIT announced five multiyear flagship projects in the first-ever Climate Grand Challenges, a new initiative to tackle complex climate problems
Publication Date: Description: The Climate Modeling Alliance (CliMA), which includes a number of MIT researchers, is working on developing a new climate model that could be used to create more accurate climate predications that could be useful at the local or regional levels, reports Doug Struck for The Christian Science Monitor. “It’s always a mistake to say that you shouldn’t try something new,” says Prof. Raffaele Ferrari. “Because that’s how you change the world.”