Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

A new urban 3D reconstruction method enhances Tomographic Synthetic Aperture Radar (TomoSAR) imaging using geometric semantics.

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 ...

Math Magic has officially launched Hitem3D (hitem3d.ai), the world’s first AI-powered tool for 3D content creation that ...

Pretrained jet foundation models can successfully be utilized on a new dataset and on a new set of tasks: the multi-task hadronically decaying tau reconstruction problem.

Time-dependent prediction model using modified DeepSurv algorithm for dynamic risk assessment of post-operative bone metastases in breast cancer.

Convolutional neural networks can model the early feed-forward components of the MEG evoked response during visual word recognition.

Science Largest Brain Map Ever Reveals Hidden Algorithms of the Mammalian Brain In a first, the 3D reconstruction of a mouse brain links structure to activity.

On Monday, the “de-extinction” startup Colossal Biosciences announced its most ambitious results to date: the dire wolf. These are creatures that have ...

Sparse sampling of photoacoustic (PA) signals is a crucial strategy for enhancing the feasibility of photoacoustic tomography (PAT) in clinical settings by reducing system complexity and costs.