A teenager weaponized a decade of archival telescope data to unearth 1.5 million celestial mysteries that professional astronomers had missed.
Let’s start with the number that makes the rest of the story hard to picture: 200 billion. That is roughly how many rows of data a machine-learning program built by a Pasadena high schooler had to wo… [+5796 chars]