Abstract: Road crack detection is crucial for infrastructure maintenance and traffic safety, yet existing methods struggle to balance detection accuracy and computational efficiency due to complex ...

Abstract: Learning-based local feature extraction algorithms have advanced considerably in terms of robustness. While excelling at enhancing feature robustness, some outstanding algorithms tend to ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

MIT researchers tested the “Spatial Computing” theory and found that brain waves organize neurons into flexible, ...

Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new ...

Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new information.

Startup World Labs has launched Marble, a multimodal 3D world model led by AI pioneer Li Fei-Fei. This innovation grants AI spatial intelligence to interact with the physical world, moving beyond ...

Spatial reasoning remains a fundamental challenge for Vision-Language Models (VLMs), with current approaches struggling to achieve robust performance despite recent advances. We identify that this ...

When children assemble puzzles, build block towers, or follow instructions for folding three-dimensional origami figures, they’re using spatial skills—the ability to visualize, manipulate, and make ...

Summary: A new study reveals that natural hormone fluctuations during the estrous cycle dramatically alter neuron structure and activity in the mouse hippocampus, a brain region key to learning and ...

Researchers found that a brief episode of anxiety may have a bigger influence on a person's ability to learn what is safe and what is not. A new study used a virtual reality game that involved picking ...