The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Glacier erosion is transforming Earth's landmass at an astonishing rate. Artificial intelligence reveals how melting ice ...

Background Relationships and sex education (RSE) impacts some sexual behaviours but could be strengthened by incorporating ...

As the 2025 Atlantic hurricane season winds down, early evaluations of model performance reveal a shift in forecasting reliability that may redefine meteorology. Google DeepMind's Weather ...

Burdensome Medicaid renewal processes are a known source of coverage loss among eligible people. In spring 2023, the pause in Medicaid disenrollment resulting from the COVID-19 public health emergency ...

Background Stroke after transcatheter aortic valve implantation (TAVI) is an infrequent but serious complication with ...

There are stark socioeconomic and ethnic inequalities in babies admitted to and who die in neonatal units in England and ...

Abstract: Symbolic Regression (SR) is a sub-field of machine learning that attempts to find a concise closed-form equation for regression tasks. The main strength of SR is in discovering new equations ...