AI Algorithm Surpasses What it Was Taught by Humans

U of T Engineering researchers Wenzhi Guo (ECE MASc 1T5) and Parham Aarabi (ECE) have designed a new machine learning algorithm that may soon enable your smartphone to give you an honest answer based on logic. The algorithm does not learn from an existing set of examples, but rather takes its data directly from human instructions. This methodology resulted in it outperforming conventional methods of training neural networks by a whopping 160 per cent. What is even more surprising is that the algorithm also outperformed its own training by nine per cent. It learned, for example, to recognize hair in pictures with more reliability than that enabled by the training.