We developed a convolutional deep neural network-based approach named DOcking decoy selection ... DOVE scans the protein–protein interface of the model with a 3D voxel and considers atomic interaction ...

The market demands new, efficient solutions for creating 3D images to fill the hyper ... industry in September 2012, when the convolutional neural network AlexNet won the ImageNet Large Scale ...

More precisely, they are developing convolutional neural networks ... use all that sensor data to navigate the 3D printing process.” The neural networks they developed could theoretically ...

called a convolutional neural network, Chakrabarty and researchers from Mallinckrodt Institute of Radiology developed a large, multi-institutional dataset of intracranial 3D MRI scans from four ...

Researchers from UCLA have used a 3D printer to create an artificial neural network able to analyze large volumes of data and identify objects at the speed of light. The system is called a ...