This method has the potential to address the limitations of model scaling while still delivering high-quality ... overall computational costs. Google’s research team used a math benchmark ...

A core task in single-cell data analysis is recovering the latent dimensions encoding the genetic and epigenetic landscapes inhabited by cell types and lineages. However, consensus is lacking for ...

AI can accurately predict a hurricane's movement—as well as other types of extreme weather. It could be a game changer as ...

Unpopulated and in the middle of nowhere, Point Nemo is starting to have a history. This article appears in the November 2024 ...

Cheng is a researcher at NextGen Precision Health, where he has access to Cryo-EM and high-resolution electron microscopy ... modeling for cryoEM density maps using 3D transformer and HMM ...

Brooklyn Pater found the women’s volleyball team at Hopkins by chance — well, not exactly. It was more like the program found ...

Recently, diffusion models have been applied to geometry estimation, with some methods producing multi-view depth and normal maps for single objects ... KITTI 2 for driving scenarios to provide ...

Researchers introduce Lotus, a novel diffusion-based model that revolutionizes dense prediction tasks by boosting accuracy ...

The project will analyse hundreds of tissue samples from the Parkinson’s UK Brain Bank in order to create a map of how ... without high quality data these computational models still end up ...

Computational and applied mathematicians model phenomena from a wide variety of science and engineering disciplines and design computer algorithms to solve the resulting mathematical problems. Faculty ...