Machine learning frameworks like Google’s TensorFlow ease the process of acquiring data, training models, serving predictions ... for use in your projects. Code from the TensorFlow Model ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

The project I was a part of, Tectonic, was using machine learning to advance earthquake prediction. The European Research Council was sufficiently convinced of its potential to award it a four ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN ... therefore more likely to make correct predictions than the standard algorithms ...

Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions. A team of artificial intelligence engineers ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

Credit: Journal of Geophysical Research: Machine Learning and Computation (2025). DOI: 10.1029/2024JH000507 Comparison of FVCOM, ML and FVCOM-ML results for storm surge prediction.

Machine learning prediction models are better at forecasting tropical cyclone paths, but the 25-kilometer resolution of Pangu means it can miss smaller-scale variability within a developing storm.