Vision-language models (VLMs) are essential to Embodied AI, enabling robots to perceive, reason, and act in complex environments. They also serve as the foundation for the recent ...

Advances in spatial biology enable scientists to visualize multiplexed biomolecules across multiple 'omics technologies at single-cell resolution. However, all of these technologies require ...

A commentary is provided on issues raised in the Special Issue of Hippocampus (2023) on hippocampal system view representations. First, the evidence for hippocampal and parahippocampal spatial view ...

In this White Paper, break past the barriers that once limited spatial analysis of gene expression in formalin-fixed paraffin-embedded (FFPE) tissue sections and unlock what has been hiding in your ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

Several major database systems provide extensions to support the management and analysis of spatial data in a relational database system (IBM02, Ora01 and IBM01). The functionality is also ...

Abstract: Deep learning-based methods have made significant progress in hyperspectral image (HSI) classification in recent years. However, deep learning-based methods usually rely on a large number of ...

Abstract: Recently, attention has been focused on spatial databases, which combine conventional and spatially related data, such as geographic information systems, CAD/CAM, or VLSI. A language has ...