A new baseline study shows that deep learning can learn meaningful microstructural information from severely imbalanced ultra-high carbon steel images,...

A new survey in Artificial Intelligence Review unifies the four major attack vectors against voice authentication, finding that audio deepfakes...

A new mixture-of-experts vision-language model called RSFG-MoE is designed to deliver fine-grained, high-resolution interpretation of remote sensing imagery.

A new review explains how artificial intelligence is enabling computational light field detection to recover multidimensional optical information from compact...

A deep learning analysis of abdominal CT scans shows that where the body stores fat, not overall weight, predicts survival...

Researchers have developed CROWN, a self-supervised visual foundation model pretrained on more than ten million cytology images that achieved top...

A new framework called TDiMS rebuilds molecular descriptors around pairs of chemically meaningful substructures, aiming to make predictions of intramolecular...

Researchers have developed a deep reinforcement learning framework that continuously adapts its market forecasts, achieving an average cumulative return of...

A machine-learning-driven statistical analysis of a six-metal high-entropy alloy reveals that its CO tolerance in alkaline hydrogen oxidation arises from...

Turkish researchers show that behavior-preserving code refactoring used to synthesize training data, combined with GraphCodeBERT embeddings, markedly improves deep learning...