Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Three-dimensional (3D) cancer models have emerged as pivotal tools in oncology research, offering a more accurate representation of tumor biology compared ...

Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...

Ace Bailey may be fighting a losing battle if he wants to avoid beginning his NBA career with the Utah Jazz.

Pre-training by numerous image data has become defacto for robust 2D representations. In contrast, due to the expensive data processing, a paucity of 3D datasets severely hinders the learning for high ...

While 3D object representations are being revived in the context of multi-view object class detection and scene understanding, they have not yet attained wide-spread use in fine-grained categorization ...

PyAutoPlot is an open-source Python library designed to make dataset analysis much easier by generating helpful detailed plots using matplotlib. It automatically generates appropriate plots based on ...

Add a description, image, and links to the knowledge-representation-and-reasoning topic page so that developers can more easily learn about it ...