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 ...

In this letter, a general design criterion is proposed for optimizing non-uniform three-dimensional (3D) arrays to enhance near-field capacity in extremely large-scale MIMO (XL-MIMO) communications.

Google Beam uses an AI model that turns video calls into a lifelike 3D experience. It could be the next best thing to being there.

Explore how Python enhances automation in 3D workflows with OpenUSD, enabling rapid prototyping and efficient scene manipulation, crucial for industries handling complex 3D data.

Get powerful, Digital Binary Data And Streaming Binary Code Executed By A Computer On A 3d Plane Visual Representation Big Data Concept Compiling Optimizing Neural Nets 3d Render 4k Loop pre-shot ...

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible.

Three-dimensional reservoir computing (3D RC) system is an energy efficient recurrent neural network for achieving high area efficiency. Considering the physical implementation of 3D RC by memristor, ...

Description Image Processing in Python for 3D image stacks, or IMPPY3D, is a software repository comprising mostly Python scripts that simplify post-processing and 3D shape characterization of ...

Hey @vchoutas I clarified my concepts and used Humannerf for my own 3d reconstruction and your parameters, helped a lot in this. Thank you for the work. There's one final thing that I have to achieve ...