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Artificial neural networks make short work of gravitational lenses

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Category: Science News Archive (2017)

A new and much faster way of analysing the gravitational lensing of light has been developed by physicists at Stanford University in the US. The technique is 10 million times faster than conventional methods and uses artificial neural networks. It could make it possible for astronomers to rapidly analyse images of tens of thousands of gravitational lenses that are expected to be discovered by the next generation of telescopes.

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