interpretable

Rudin and her colleagues specialize in developing "interpretable" machine learning algorithms.

"In an age of big-data machine learning approaches, the current work provides an argument for using fewer but more interpretable variables."

This breakthrough suggests that interpretable machine learning models can understand the complex nature of disorder in materials, paving the way towards understanding their function and design.

They include practical checklists for scientists to follow with the goal of publishing fully understandable and interpretable images.

"They're really not recognizable at all by humans. They don't look or sound natural and they don't have interpretable features that a person could use to classify an object or word," Feather says.