Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

LifeTracer is not a universal life detector. Rather, it provides a foundation for interpreting complex organic mixtures. The Bennu findings remind us that life-friendly chemistry may be widespread ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...