Bioinspired strategy creates complex 3D curved structures via programmed shrinkage

The shape of biological structures, ranging from flower petals to the limbs or organs of animals, is often naturally best ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

AI Is Connecting The 3D Printing Industry To Build A Creator Ecosystem

AI is transforming 3D printing by making design as intuitive as conversation, shifting the industry's focus to seamless ...
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, ...