Google Brain, the company's large-scale neural network research team, got its start. Stanford professor Andrew Ng had begun what he called the Deep Learning Project at Google, joined by Google fellow Jeff Dean and researcher Greg Corrado; much of the early work was part-time, done in the 20 percent time Google allowed. It began inside Google X and was graduated back into Google proper after proving successful. In June 2012 the team published "Building high-level features using large scale unsupervised learning," in which a network spanning 16,000 processors, trained on 10 million images drawn from YouTube without labels, developed features that detected cats. The New York Times headline — "How Many Computers to Identify a Cat? 16,000" — helped bring deep learning to public attention. Google Brain went on to produce TensorFlow and the Transformer, and merged with DeepMind in 2023.