A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Text-to-CAD tools are beginning to generate useful 3D models from prompts, but the most important missing feature is not geometry — it is intent.

Reproducing kernel Hilbert space method is utilized in this paper as an efficient approach to solve singular fourth order ...

Abstract: Robust geometric model estimation is fundamental to multimodal remote sensing image matching for cross-modal registration, 3D reconstruction, and pose estimation. However, it remains ...

Abstract: In this letter, we introduce Geometric Model Predictive Path Integral (GMPPI), a sampling-based controller capable of tracking agile trajectories while avoiding obstacles. In each iteration, ...

OpenSCAD is a specialized parametric 3d modeling environment designed for creating solid 3D CAD objects. Unlike traditional modelers that rely on interactive manipulation, this cad software focuses on ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

Consumer confidence in food safety reached a record low in 2024 due to food recalls and increased reporting on toxic ingredients, according to the International Food Information Council (Ref. 1), ...