Transparent nanosheets could shrink phone cameras while preserving high-resolution color images

Researchers at Nagoya University in Japan have developed gallium-doped zinc oxide (GZO) nanosheets that may enhance camera ...

AI continues to change how hospitals in central Ohio care for patients

Doctors at central Ohio’s major hospital systems say artificial intelligence is helping them see more than they could before.
thorax.bmj

External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules

Background Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk ...
EurekAlert!

Study reveals hidden damage in stony corals using 3D imaging and AI

Florida’s coral reefs are under siege. Since 2014, Stony Coral Tissue Loss Disease (SCTLD) has spread rapidly across the Florida Reef Tract and Caribbean, killing vast numbers of reef-building corals ...
IEEE

Light-Field Image Super-Resolution Using Convolutional Neural Network

Abstract: Commercial light field cameras provide spatial and angular information, but their limited resolution becomes an important problem in practical use. In this letter, we present a novel method ...
Frontiers

Electroencephalogram-Based Motor Imagery Classification Using Deep Residual Convolutional Networks

The classification of electroencephalogram (EEG) signals is of significant importance in brain-computer interface (BCI) systems. Aiming to achieve intelligent classification of motor imagery EEG types ...
acm.org

ImageNet Classification with Deep Convolutional Neural Networks

Five ILSVRC-2010 test images in the first column. Remaining columns show the training images that produce feature vectors in the last hidden layer with the smallest Euclidean distance from the feature ...
IEEE

Image Super-Resolution Using Deep Convolutional Networks

Abstract: We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images. The mapping is represented ...