Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

Also checkout this great introduction to modern 3D data processing that features Open3D: 3D Data Science with Python by Dr. Florent Poux From the author: Throughout the book, I showcase how Open3D ...

Distance measure between two sets of views is one central task in view-based 3D model retrieval. In this paper, we introduce a distance metric learning method for bipartite graph matching-based 3D ...

Sharper Shape, a global leader in utility asset intelligence and grid resiliency software, has been named the winner of the Data Visualization Solution of the Year award in the 2025 AI Breakthrough ...

Here, molecular graphs derived from the one-electron density matrix are introduced within a more general effort to explore whether incorporating electronic structure awareness allows a single model to ...

Travel back 390 million years after the big bang to the ancient Maisie's Galaxy in this stunning 3D visualization that showcases 5000 galaxies captured by the James Webb Space Telescope. It was ...

Unlocking the full value of enterprise data starts with effective data visualization and seamless collaboration. Discover how the right tools empower teams to turn raw information into actionable ...

Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ...