Artificial Intelligence / Machine Learning models, trained on visual representations of website code, can improve the accuracy and speed of detecting phishing websites. Artificial Intelligence (AI) and Machine Learning (ML) models that are trained on visual markups of a website code can enhance the accuracy and speed of detecting phishing websites. According to a document (PDF) published by security researchers at the University of Plymouth and the University of Portsmouth in the United Kingdom, this is the case. The researchers want to overcome the flaws in current detection technologies, which are either too sluggish or insufficiently accurate. Creating images from web code The researchers' method transforms the markup and code of web pages into images using "binary visualisation" tools.