Machine learning has the potential to make a big difference in solving some of humanity's biggest problems -- making renewables more efficient, optimizing our transportation networks, recycling our trash, making medical care more broadly accessible, accelerating science.
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Must be subjective as I don't think it's at all tricky (though whether or how to apply ML might be as big issues as just applying): ecosystem loss, flooding, food, water, resource reuse, energy, oppression, corruption, cancer, negative QOL disabilities, education,painful aging
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At Kriterion we’re changing asset management in mining using deep generative models for predictive maintenance https://drive.google.com/open?id=1ReWNPiR2VOXFQyjIQOOjD11TWpfNYNvp … everything stems from the ability to figure out asset healthhttps://drive.google.com/open?id=1chHmh7nG72t3LMMy8w7Xa-gjf9AyuQ3m …
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@jack_kelly is creating a non-profit research lab to reduce greenhouse gas emissions.https://openclimatefix.github.ioThanks. Twitter will use this to make your timeline better. UndoUndo
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Anything to share in particular? Project page, etc.
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how did they collect the data to train the model?
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Important to give them more visibility! Related call:https://twitter.com/rodolfor/status/998348212741128197 …
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