Machine learning, as it stands now, needs to analyze many samples to learn effectively. Neuroscientist Stanislas Dehaene wrote, “The state of the art in machine learning involves running millions, even billions, of training attempts on computers. […] In this contest, the infant brain wins hands down: babies do not need more than one or two repetitions to learn a new word.”
