The unlabeled object recognition test is a standard test of machine learning algorithms. Historically, error rates of around 20-25% won competitions and set re

The unlabeled object recognition test is a standard test of machine learning algorithms. Historically, error rates of around 20-25% won competitions and set records. A year or two ago, though some researchers and professors from the University of Toronto absolutely smashed those records, getting around a 16% error rate. They went and made a startup out of their tech, and got acquired by Google a few months ago. I think that this is going to be the first of a long line of Google products integrating this sort of deep neural network technology. I wouldn't be shocked if Google in 10 years was known for something besides search, at this rate.