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

Every year, nearly 1,900 of the nation’s most promising high school seniors submit original research to the Regeneron Science ...

Who is Seth Jacob Nabat? 18-year-old from California built an AI system to ‘see’ particle collisions — and won $40,000

Seth Jacob Nabat, an 18-year-old from California, has built a machine-learning system to analyse particle collisions. His innovative physics project has earned him a $40,000 prize.
Phys.org

Nobel Prize in physics awarded to 2 scientists for discoveries that enabled machine learning

Two pioneers of artificial intelligence—John Hopfield and Geoffrey Hinton—won the Nobel Prize in physics Tuesday for helping create the building blocks of machine learning that is revolutionizing the ...
Science Daily

Improving hurricane modeling with physics-informed machine learning

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...
Phys.org

Improving hurricane modeling with physics-informed machine learning

Hurricanes, or tropical cyclones, can be devastating natural disasters, leveling entire cities and claiming hundreds or thousands of lives. A key aspect of their destructive potential is their ...