We’re one step closer to understanding the sperm whale ‘alphabet’

CETI’s previous scientific findings, aided by artificial intelligence, have already revealed a strikingly intricate system of ...
Science News

AI models spot deepfake images, but people catch fake videos

AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people ...
IEEE

CALM: A Copula-Augmented Lightweight Deep Learning Model for Robust Pulmonary Function Assessment from CT Imaging

Abstract: Chronic respiratory diseases (CRDs) are among the leading chronic diseases worldwide and pose a significant threat to public health and life expectancy. Pulmonary dysfunction, a core ...
The New York Times

Deep Beneath Helsinki, the Playgrounds Are Really Bomb Shelters

Finland has spent decades digging caves into its bedrock. Now, as Russia rears its head, nervous Finns want to know: “Where’s my shelter?” Credit... Supported by By Sally McGrane Visuals by Vesa ...
American College of Cardiology

Deep Learning Model Accurately Identifies MV Prolapse From TTEs

A deep learning model accurately identified mitral valve prolapse (MVP) from transthoracic echocardiograms (TTE), and its predictions were associated with clinical endpoints such as mitral ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
chromatographyonline

Developing Deep Learning Models to Identify More Peaks in GC–MS Chromatograms

MASSISTANT predicts molecular structures from GC-EI-MS spectra using SELFIES encoding, overcoming traditional database limitations. SELFIES encoding ensures valid molecular predictions, unlike SMILES, ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...