Cisco unveils AI agents for Webex meetings

The company also announced third-party integrations for its AI assistant and new AI features for its upcoming RoomOS 26 ...
IEEE

Cross-Modal 3D Shape Retrieval via Heterogeneous Dynamic Graph Representation

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 ...
Geeky Gadgets

Are You Using Apple Notes Wrong? : Complete iPad Note-Taking Workflow

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 ...
IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

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, ...
MotorTrend on MSN

Driven! The 2025 Audi RS3 Gets Even Hotter

We’ve always been big fans of Audi’s RS3 performance sedan, and now we’re even more so.A quick mental review of the past ...
GitHub

VoxT-GNN：A 3D Object Detection Approach from Point Cloud based on Voxel-Level Transformer and Graph Neural Network

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.