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.

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

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 ...

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

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 ...

Investment research used to mean reading through hundreds of earnings reports and hoping the patterns spotted were actually meaningful.

Introduction Asthma is a chronic respiratory disorder requiring ongoing medical management. This ecological study ...