Pre-training by numerous image data has become defacto for robust 2D representations. In contrast, due to the expensive data processing, a paucity of 3D datasets severely hinders the learning for high ...

Contracting company Miniopolis Builders in Florida recently added 3D-printed homes to its list of services, with the goal of ...

Update: With just three days to go, the EufyMake E1 UV printer has become the most backed Kickstarter of all time. At the ...

The robustness and accuracy of the intensity-based 3D/2D registration of a 3D model on planar X-ray image(s) is related to the quality of the image correspondences between the digitally reconstructed ...

Huawei Cloud announced Pangu Models 5.5 at the Huawei Developer Conference 2025 (HDC 2025), representing a comprehensive ...

The more accurate we try to make AI models, the bigger their carbon footprint — with some prompts producing up to 50 times more carbon dioxide emissions than others, a new study has revealed.

These prototype processors made from atomically thin materials offer a glimpse into a post-silicon-transistor future, but scaling challenges remain. Read the paper: A complementary two-dimensional ...

Liquid Glass, iPad multitasking, and call screening—take a look at Apple’s latest features coming to your iPhone and iPad ...

This repository contains the code to train ConvNeXt models on 3D NIfTI images or 2D slices derived from these images. The script allows you to customize various aspects of the training process, ...

Bert2D is a novel transformer-based model that builds upon the BertModel architecture by introducing a two-dimensional word embedding system. This enhancement is specifically designed to improve ...