A new study in AI & Society argues that Thomas Aquinas's virtues of justice, prudence, and charity can guide the...

Researchers in Hangzhou have developed MGCRN, a graph-based recurrent neural network that maintains high forecasting accuracy on spatio-temporal data even...

A new 3D convolutional neural network called COV-DSNet stages COVID-19 patients as progressing or remitting from chest CT scans and...

A new historical analysis argues that cognitive science and statistical physics independently converged on a shared simulative methodology, the synthetic...

Researchers at Linyi University have combined wavelet decomposition with denoising diffusion models to forecast urban traffic flow more accurately across...

A new Machine Learning study extends the theory of adversarial training beyond Lipschitz continuity, deriving generalization and optimization guarantees under...

Researchers at Fuzhou University have developed RCGELM-AE, a graph embedding model that trains in closed form without gradient descent while...

Researchers in Istanbul developed a ResNet50-based deep learning system that scores preclinical dental soap carvings on ten morphological criteria, achieving...

Researchers have developed SURGE, a graph unlearning framework that treats data deletion requests as structural perturbations and repairs graph neural...

Researchers have developed a federated deep learning framework that detects financial fraud across banks with high accuracy while keeping all...