Extropy has emerged as a pivotal measure in the quantification of uncertainty, serving as a complementary counterpart to the traditional concept of entropy. Unlike entropy, which is widely used to ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

S&P 500's forward 10-year returns are often misrepresented as tightly & negatively correlated with trailing P/E ratios. Read more on SP500 stock here.

Candidates preparing for JEE Advanced 2026 can download the official syllabus PDF from jeeadv.ac.in, released by IIT Roorkee.

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

The original definition of the word “bias,” when it entered the English language in the 16th century, was a diagonal line, and specifically one that cut across the warp or weft of a woven fabric. It ...

This study provides useful insights into addressing the question of whether the prevalence of autoimmune disease could be driven by sex differences in the T cell receptor (TCR) repertoire, correlating ...