Bayesian thinking helps you make better decisions by updating your beliefs when new evidence appears. Even in games of chance like scratch-off lotteries, paying attention to information can improve ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Baidu's ERNIE-5.0-0110 ranks #8 globally on LMArena, becoming the only Chinese model in the top 10 while outperforming ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

The ROAR trial tested the hypothesis that returning familial hypercholesterolemia-associated genetic results leads to ...

How modern mathematics helps policymakers and insurers connect the dots of the country’s fragmented demographic data ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...