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One of the ways that scientists propose that we tackle the problem of global warming is to actively remove greenhouse gases, such as carbon dioxide, from the atmosphere. To be an effective compliment to reducing our CO2 output from transport and industry, carbon sequestration will have to be done on a massive scale, meaning that the materials used in the process will need to be plentiful. One of those materials, magnesite, readily absorbs CO2, but there are both practical and economic limits keeping industry from mining the mineral in quantities large enough to be effective. However, researchers in Canada have discovered a way to quickly produce the mineral artificially.read more

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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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While the world might be making the steady shift away from fossil fuel energy sources, there is concern that avoiding a climatological catastrophe might take more than simply halting our production of carbon dioxide waste, and that our civilization might need to start actively removing excess CO2 from the atmosphere. Numerous companies around the planet have been developing such an idea, a process called "carbon sequestration", including a Canadian company that is looking to do more than just remove carbon dioxide from the atmosphere: they plan to recycle the recovered greenhouse gas and use it as a carbon-neutral fuel source.
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