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: 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, ...

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 ...

OpenAI claims its new reasoning model has produced an original mathematical proof disproving a famous unsolved conjecture in geometry, which was first posed by Paul Erdős in 1946. If this sounds ...

The team behind the first public macOS kernel memory corruption exploit on M5 silicon has shared fresh details on how Mythos Preview helped bypass a five-year Apple security effort in five days. Last ...

Abstract: This letter introduces a mask-based surrogate modeling framework that generalizes the feature-based paradigm for efficient microwave design exploration using a limited number of full-wave ...

The breakthrough was achieved using a simple mathematical model that balances two competing forces—how strongly the particles repel each other, and how tightly they are confined. By tuning these ...

It’s a universal fact that as any 3D object, from a Platonic sphere to a cell to an elephant, grows outward in all directions, its total surface area will increase more slowly than the space it ...