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Neat News 2020-139 (added 2020-05-18)

More efficient learning algorithm

neural.png
© Mcstrother [CC BY 3.0]

Training big artificial neural nets in order to apply them for solving problems can take a lot of computation resources, which need a lot of energy with a big carbon footprint. By pruning the connectivity in an intelligent way after initial steps, the energy consumption can be cut to a tenth.

News seen at: ScienceDaily - Computers & Math

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