Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

A new robust statistical method resists outliers, improving data reliability in AI, robotics, and medical imaging BUSAN, South Korea, Nov. 13, 2025 /PRNewswire/ -- In many modern sciences, data often ...

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 ...

Economists say unbiased data is essential for policymaking, and for democracy. President Trump said he ousted the head of the Bureau of Labor Statistics because the numbers produced by her agency were ...

Statistical mechanics is one of the pillars of modern physics. Ludwig Boltzmann (1844-1906) and Josiah Willard Gibbs (1839-1903) were its primary formulators. They both worked to establish a bridge ...

Time-series data—measurements collected over time like stock prices or heart rates—plays a vital role in AI forecasting systems across industries. As these systems advance, the need for time-series ...