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 One of the key challenges in facing a rapidly-changing climate is accurately predicting how global warming will affect individual regions around the planet: one area may suddenly be stricken with prolonged drought, while another may be inundated with catastrophic flooding. Keeping ahead of potentially disastrous conditions that can lead to situations such as these will be required for policy makers and emergency planners if they are to save lives and livelihoods, but our current climate models still appear to be inadequate in providing the fine details needed. The solution: according to a professor at Columbia University, the secret to our survival lies in the branch of artificial intelligence called machine learning.
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An increase in the number of devastating earthquakes around the world is being predicted for 2018, according to the University of Colorado’s Roger Bilham and Rebecca Bendick of the University of Montana. The two geologists have made a detailed study on earthquake activity recorded since 1900, and found that increases in the number of major earthquakes tend to follow predictable cycles, and 2018 happens to fall in one of those years.
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For years, science has theorized that the human brain ran solely on reactions to stimulus from it’s exterior environment, but in recent years scientists have been discovering that it instead runs a series of predictive abilities. Now, researchers have located what part of the brain is connected to this ability.
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