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
[ad_1] 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 competition in the United States. According to the Society for Science, which runs the competition, the Regeneron STS…