Even when the connections and weightings in a neural network are displayed for all to see, it is not clear how most of them actually achieve their results – they are trained black boxes that remain opaque under close scrutiny. Now scientist from Italian research institute SISSA and the Technical University of Munich have found ...

This story continues at Finding out how neural nets do what they do

Or just read more coverage at Electronics Weekly