This AI infrastructure stock is building the right side of a cup base. Its data center business is robust.
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Abstract: In recent years, following the development of sensor and computer techniques, it is favored by many fields, i.e. automatic drive, intelligent home, etc., which the deep learning based ...
Abstract: The extensive adoption of cloud computing platforms in storing and processing data have brought forth a new age of efficiency in the way data is stored, processed and managed, requiring new ...
Abstract: This paper describes a method for discriminating structures in a nuclear facility based on deep learning using three-dimensional (3D) point cloud data. To promote safe and secure ...
Introduction: Three-dimensional (3D) point clouds acquired by LiDAR are fundamental for applications such as autonomous navigation, mobile robotics, infrastructure inspection, and cultural-heritage ...
Abstract: The improvement of parameter estimation accuracy depends on the increase of information. The purpose of structure-constrained scattered data fitting is to build a more accurate field by ...
Structure Therapeutics’ stock soared toward an 18-month high in early Monday trading, after mid-stage data for its oral daily GLP-1 receptor appeared comparable to that of one of Eli Lilly’s ...
Abstract: The weak geometric features and high repeatability of information in tunnel scenes are important factors that make point cloud fine registration very difficult. This makes it challenging for ...