https://phys.org/news/2018-10-nasa-machines.html

Considered a subset of artificial intelligence, machine learning and neural networks are actually in the avant-garde. Instead of programming a computer to carry out every task it needs to do, the philosophy behind machine learning is to equip ground- or space-based computer processors with algorithms that, like humans, learn from data, finding and recognizing patterns and trends, but faster, more accurately, and without bias.

"The benefits are many and the applications are wide ranging," said Goddard Senior Fellow and Assistant Chief for Technology Jacqueline Le Moigne, who has been working in artificial intelligence since her graduate school days in France several years ago.