News

Machine learning and quantum chemistry unite to simulate catalyst dynamics

Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from ...
The Official Microsoft Blog

Microsoft leads shift beyond data unification to organization, delivering next-gen AI readiness with new Microsoft Fabric capabilities

We’re in a hinge moment for AI. The experiments are over and the real work has begun. Centralizing data, once the finish line, is now the starting point. The definition of “AI readiness” is evolving ...
搜狐

Liard AI Spatial Computing Empowers Humanoid Robots: Motion Capture Technology Accelerates Embodied Intelligence Implementation

Liard (300296.SZ) recently released a record of investor relations activities, disclosing its latest progress in the AI and spatial computingfield. The company is actively promoting the application of ...
IEEE

Joint Structure Detection and Multi-Scale Clustering Filtering for Tunnel Lining Extraction From Point Clouds

Abstract: Accurate extraction of tunnel lining is crucial for deformation monitoring, damage detection, and tunnel modeling. However, the extraction of tunnel lining is still challenging due to the ...
IEEE

Keypoint-Based SAR Structure From Motion via Riemannian Optimization

Abstract: Structure from motion (SfM) is the concept of estimating both sensor pose and 3-D scene structure from input images. The difficulty with synthetic aperture radar (SAR) SfM stems from the ...
Frontiers

Perception of nonrigid structures from motion using tracking image gradient vectors

Introduction: A subset of the true optical flow can be extracted by constructing a vector field that represents image gradients and then tracking vectors in this vector field. This pseudo-flow (p-flow ...