Surprisingly, we found that even significantly higher dark energy densities would still be compatible with life, suggesting ...

From 2D images to 3D shapes Diffusion models, such as DALL-E, are a type of generative AI model that can produce lifelike images from random noise. To train these models, researchers add noise to ...

A new AI method enables the generation of sharp, high-quality 3D shapes that are closer to the quality of the best 2D image models. Previous approaches typically generated blurry or cartoonish 3D ...

But in 3D, these curvy, almost organic forms have no corners at all. Once the researchers identified the new shapes, they began to see them all over the place—in nature, art and architecture.

It discusses calculations for perimeter and area in 2D shapes and expands to surface area and volume for 3D shapes. Visual diagrams and real-life examples demonstrate where each type of shape is ...

Kirigami structure of metabots. Credit: Nature Materials (2024). DOI: 10.1038/s41563-024-02007-7 Cornell University researchers have created microscale robots less than 1 millimeter in size that are ...

In industrial design, the model could expedite prototyping by creating accurate 3D models from 2D sketches. In AR/VR, the LRM could enhance user experiences by generating detailed 3D environments ...

NVIDIA Research has built and released an open-source AI model that can reconstruct 2D videos into detailed 3D structures, complete with intricate details and textures.