Physicists at the University of Liège have succeeded in sculpting the surface of water by exploiting surface tension. Using ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

The evolution of photography has been quite exciting. From exposing photosensitive paper and glass to the creation of stereoscopic cameras to the invention of 35mm cameras, the photo world has seen ...

on the challenging task of both 2D and 3D face recognition. We constructed two CNN models, namely CNN-1 (two convolutional layers) and CNN-2 (one convolutional layer) for testing on 2D and 3D dataset.

Bioprinting & Tissue Engineering Group, Center for Molecular Biology of Heidelberg University (ZMBH), Heidelberg, Germany 3D ... Convolutional neural networks (CNN) are a method of deep learning that ...

The NWs synthesized on a donor substrate were printed in a layer-by-layer manner to realize the 3D stack and their scanning electron microscope (SEM) characterizations were carried out to illustrate ...