SPaDe-CSP first predicts most probable space groups and crystal densities using machine learning and then employs an efficient neural network potential for structure refinement. Prediction of crystal ...

Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, extending the prior DAAE framework beyond static baseline risk. Registry ...

Google’s DeepMind research institute has unveiled its latest weather prediction model, GraphCast, which boasts superior accuracy and speed compared to the records set by Chinese tech giant Huawei ...

Machine learning is changing the front end of drug discovery, where researchers decide which targets to pursue and which molecules deserve costly laboratory work. Its deeper test lies further ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the environment, offering powerful new tools to overcome long standing ...