A new opinion paper argues that artificial intelligence is transforming environmental geoscience research while threatening the field's empirical foundations through...

Researchers at EPFL have developed MAGNETS, an inherently interpretable neural network that predicts continuous targets from time series by learning...

Researchers have developed a graph neural network model that learns dynamic time delays between variables in multivariate time series, improving...

Researchers have combined Bayesian physics-informed neural networks with Stein variational gradient descent to deliver fast, probabilistic forecasts of contaminant transport...

A new study of 1,432 young adults fuses health belief and technology acceptance theory with machine learning and a prototype...

Researchers combined dual-comb illumination, compressive ghost imaging, and deep learning to reconstruct full hyperspectral images from sparse, low-light measurements.

A patent-pending SUNY invention pairs time-domain and frequency-domain signal representations with a cosine similarity loss function to improve detection of...

A new analysis in Frontiers of Digital Education maps how artificial intelligence is transforming learning, teaching, curricula, and education governance...

An Indian research team has combined a gold-coated photonic crystal fiber SPR sensor with a hybrid CNN-SVM-XGBoost framework that classifies...

New book by two retired U.S. diplomats explores how AI systems are reshaping visa and passport decisions and why human...