Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

To capture higher-definition and sharper images of cosmological objects, astronomers sometimes combine the data collected by several telescopes. This approach, known as long-baseline interferometry, ...

Borosilicate glass offers extreme stability; Microsoft’s accelerated aging experiments suggest the data would be stable for ...

For decades, learning to program has been rooted in the process conception of knowledge. Students learned by doing: by writing code, compiling, fixing syntax errors, and gradually developing fluency ...

This is read by an automated voice. Please report any issues or inconsistencies here. A California food manufacturer is recalling thousands of cases of salad dressing distributed to major retailers ...

cnos25 follows the CNOS propose-then-match pipeline. It uses YOLOE as the proposal model and dinov3 descriptors for matching. Besides result reproduction, this repo might provide some useful code for ...

This project offers the Canonical Objaverse Dataset, created using the methods outlined in the paper "One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency." Additionally, ...

Objective To evaluate the impact of a change in national guidance on the management of hypoglycaemia on UK term neonatal unit (NNU) admissions, describe perinatal risk factors for hypoglycaemia and ...

The goal of multi-object tracking (MOT) is to estimate the location of objects and maintain their identities consistently to yield their individual trajectories. It has become a trend to fuse ...