A new study finds that machine learning can help reduce textile manufacturing waste by more accurately mapping how colors will change during the dyeing process. Fabrics are typically dyed while wet, and their colors change as they dry. This can make it difficult to know what a piece of fabric will end up looking like in its finished state, said Warren Jasper, professor in the NC State Wilson College of Textiles* and author of a paper on the study.