It's all deep learning

Artificial intelligence (AI) stands out as a transformational technology of our digital age -- and its practical application throughout the economy is growing apace. Neural networks are a subset of machine learning techniques, loosely modelling the way that neurons interact in the brain. AI practitioners refer to these techniques as "deep learning…". Deep learning requires thousands of data records for models to become relatively good at classification tasks and, in some cases, millions for them to perform at the level of humans. By one estimate, a supervised deep-learning algorithm will achieve acceptable performance with around 5,000 labelled examples per category and will match or exceed human-level performance when trained with a data set containing at least 10 million labelled examples.