Meet Seth Nabat, the 18-year-old California student who built a two-network machine-learning system to track particle collisions; he won $40,000
Seth NabatPhoto: Society for Science Every year, nearly 1,900 of the nation’s most promising high school seniors submit original research to the Regeneron Science Talent Search (Regeneron STS), the oldest and most prestigious science and mathematics…