Predicting whether someone will click on an ad is a big deal for online platforms. But current methods have some issues. They don't use enough outside information. And they can't quickly figure out what a person is interested in. A new approach called Large Interest Network (LIN) tries to fix these problems. It uses big language models to create detailed profiles fo...
Tropical cyclones, especially ones that quickly gain strength, are tough to forecast. When these storms intensify by 27 miles per hour within a day, it's called rapid intensification (RI). This is tricky to predict, with current models only getting it right about 82. 6% of the time, and incorrectly raising the alarm 27. 2% of the time. To tackle this, researchers cre...
Spatial transcriptomics (ST) is revolutionizing the way scientists look at tissue structure. One key step in ST data analysis is identifying spatial domains—areas within tissue that have unique characteristics. Researchers have created a new method called GRAS4T to tackle this challenge. GRAS4T uses graph contrastive learning and subspace analysis to find these domai...