AI-generated 3D modeling belonged to research labs and Hollywood studios. Today, it’s seeping into classrooms, social media ...

Open source language models are crucial to AI innovation. Can open robotics models do the same for physical machines?

Cells process dynamic signaling inputs to regulate fate decisions during development. While oscillations or waves in key developmental pathways, such as Wnt, have been widely observed, the principles ...

This valuable study examined the roles of the posterior parietal cortex in rats performing an auditory change-detection decision task. It provided solid evidence for two subpopulations with opposing ...

Have you ever found yourself scrolling through a chaotic sea of digital notes, struggling to locate that one critical idea or meeting summary? For many, note-taking feels like a necessary chore rather ...

Have you ever found yourself frantically scribbling down notes from a meeting, struggling to copy a recipe from a magazine, or trying to preserve the details of a handwritten letter? These moments can ...

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Abstract: Cross-modal 3D shape retrieval is a crucial and widely applied task in the field of 3D vision. Its goal is to construct retrieval representations capable of measuring the similarity between ...

In this paper, we present VoxT-GNN, an innovative framework that harnesses the strengths of both Transformer and Graph Neural Network architectures for 3D object detection from LiDAR point clouds.

Human task performance in extended reality (XR) environments is a critical area of study due to the growing use of these technologies in fields such as healthcare, education, manufacturing, and ...