Tech Xplore

Stress-testing AI vision systems: Rethinking how adversarial images are generated

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
University of Delaware

Star power

The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...
Frontiers

Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...
IEEE

Railway Track Fasteners Fault Detection using Deep Learning

Abstract: The railway track fastener is the most important component of the rail fastening system. It can fasten the railway track onto the crosstie, and has great influence on train's stability and ...
Beebom

You Can Now Use Gemini 2.5 Deep Think AI That Can Win a Math Olympiad

Google's most capable Gemini 2.5 Deep Think AI model is finally available for public users. It's a faster version of the AI model that achieved the Gold medal at IMO 2025. It's rolling out to Google ...
Science Daily

Researchers use deep learning to predict flooding this hurricane season

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...
Frontiers

A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation study

Objective: To develop a deep learning (DL) model for carotid plaque detection based on CTA images and evaluate the clinical application feasibility and value of the model. Methods: We retrospectively ...