Research submitted to Cornell University uses deep neural networks to create detailed 3D models of faces using ... lighting to make sure you get all the curves, angles, and asymmetries of the ...

A research team has successfully developed a three-dimensional (3D) brain model that closely mimics the structure and ...

The innovative multi-task neural network achieves simultaneous depth estimation and soft-edge detection in a single network, producing clear 3D reconstructed images of relief-type cultural ...

The result was its all-optical Diffractive Deep Neural Network (D2NN) architecture. The 3D-printed diffraction plates of the all-optical Diffractive Deep Neural Network (D2NN) The setup uses 3D ...

A clear window in the center of each 3D matrix enables researchers to visualize the growth, organization and behavior of individual cells. "The growth of neural networks is sustained and very ...

POSTECH researchers 3D print human brain model - guiding the axonal growth of neurons using the Bioengineered Neural Network ...

Researchers have developed a groundbreaking 3D brain model that closely mirrors the architecture and function of the human brain.

neural networks are only as valuable as they are functional. That starts by making sure you don’t kill the cells when you print them. When standard 3D-printers work with plastic filaments ...

The proposed multi-task neural network performs three tasks, namely semantic segmentation, depth estimation, and soft-edge detection, which work together to enhance the accuracy of 3D reconstruction.