Robot ramps up accuracy of AI salt stain identifier

Researchers who developed a machine learning technique to identify the chemical composition of salts from images of their dried deposits have refined the process with a robot. They now have a database with three times as many images as before, which has boosted the accuracy of their technique from 90% to almost 99%.