Wednesday, 15 May 2019

How to tell whether machine-learning systems are robust enough for the real world

MIT researchers have devised a method for assessing how robust machine-learning models known as neural networks are for various tasks, by detecting when the models make mistakes they shouldn't.

* This article was originally published here