Google AI Blog: Real-Time AR Self-Expression with Machine Learning
A machine learning approach to fracture mechanics problems - ScienceDirect
Deep Learning for 3D data with Transformers | Towards Data Science
GitHub - timzhang642/3D-Machine-Learning: A resource repository for 3D machine learning
Deep learning in 3D with Facebook AI's new tool PyTorch3D
Nilearn: Statistical Analysis for NeuroImaging in Python — Machine learning for NeuroImaging
Infrared spectroscopy data- and physics-driven machine learning for characterizing surface microstructure of complex materials | Nature Communications
Frontiers | Geometric Convolutional Neural Network for Analyzing Surface-Based Neuroimaging Data | Frontiers in Neuroinformatics
Generating 3D Models with PolyGen and PyTorch | by Mason McGough | Towards Data Science
CUBIT – Sandia National Laboratories
ImFusion - ImFusion Suite
Combining computationally assisted imaging and machine learning-based... | Download Scientific Diagram
A review on machine learning in 3D printing: applications, potential, and challenges | SpringerLink
MeshingNet: A New Mesh Generation Method based on Deep Learning | DeepAI
AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What's the Difference? | IBM
Deep learning in pore scale imaging and modeling - ScienceDirect
Frontiers | Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations | Physics
ImFusion - ImFusion Suite
Surface Reconstruction Based on Neural Networks - insideBIGDATA
A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis | Journal of The Royal Society Interface
GitHub - timzhang642/3D-Machine-Learning: A resource repository for 3D machine learning
Machine learning–accelerated computational fluid dynamics | PNAS
3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification | Scientific Reports
Frontiers | Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations | Physics
