Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

DCGCN decomposes the 3D point cloud data of a molecule into three components: atomic sequence, atomic connectivity, and a distance map. From its connectivity and distance information, DCGCN captures ...

Math fans can now spin, zoom, and explore complex equations in full 3D right on their iPad with iPadOS 26. Here's what it looks like.

Polar Use the PolarGraph class to create a polar graph. It requires a function that takes a single number as input and returns a number.

MMGDreamer is a dual-branch diffusion model for scene generation that incorporates a novel Mixed-Modality Graph, visual enhancement module, and relation predictor. Feel free to contact Zhifei Yang ...

The Multi-level Graph Convolution Neural Network (MLGCN) model is an ultra-efficient approach for 3D point cloud analysis that utilizes shallow Graph Neural Networks (GNN) blocks to extract features ...

Optimizing toolpaths using graphs [Source: ArXiv] Continuous carbon fiber 3D printing may become a lot more powerful if new research is adopted by industry. Researchers at the University of Manchester ...

Multimodal fusion technology significantly enhances the safety and perception capabilities of intelligent vehicles. Recently, replacing Cartesian coordinate system voxels with polar voxels in 3D ...