Abstract: Reinforcement learning in environments with visual observations presents challenges due to incomplete individual observations. The lack of complete information leads to increased uncertainty ...

Vision Transformers (ViTs) have become a universal backbone for both image recognition and image generation. Yet their Multi–Head Self–Attention (MHSA) layer still performs a quadratic query–key ...

Spatial reasoning is the ability to perceive, interpret, and act across spatial scales, from millimeter-sized components to distant aerial scenes. All-scale spatial reasoning is fundamental to ...

This tip was performed on an iPhone 15 Pro running iOS 26. Find out how to update to the latest version of iOS. So, what are spatial photos on the iPhone? With iOS 26, spatial photos give your ...

Welcome to the official codebase for Franca (pronounced Fran-ka), the first fully open-source vision foundation model—including data, code, and pretrained weights. Franca matches or surpasses the ...

Visuospatial function is a critical aspect of cognitive abilities, encompassing visual perception, attention, memory, and adaptive responses to spatial changes. This paper reviews studies on human ...

A brief episode of anxiety may have a bigger influence on a person's ability to learn what is safe and what is not. The research recently published in NPJ Science of Learning used a virtual reality ...

What Is Nonverbal Learning Disorder? Nonverbal learning disorder (NVLD), also called nonverbal learning disability (NLD), is a condition that makes it hard to process visual, spatial, and other types ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Abstract: Recent advances in prompt learning have allowed users to interact with artificial intelligence (AI) tools in multiturn dialog, enabling an interactive understanding of images. However, it is ...

Spatial-temporal data handling involves the analysis of information gathered over time and space, often through sensors. Such data is crucial in pattern discovery and prediction. However, missing ...