He contrasted this to research that taught AI to master games, such as chess or Go, which can be run at superhuman speeds enabling a software agent to learn from playing millions of games against itself in a period of a few weeks. Many contemporary AI methods are extremely data-hungry, requiring thousands or millions of labeled examples to learn from — or thousands or millions of attempts in a simulated environment — to equal or exceed human performance.

Source: Los Angeles Times May 20, 2019 17:15 UTC