As rare disease trials face persistent feasibility challenges, Bayesian designs are gaining momentum by enabling more ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

The FDA has opened the door to the use of Bayesian statistical methods in clinical trials. The worry: Introducing ...

Google DeepMind researchers propose a new way to test whether AI chatbots actually understand morality or just mimic it, moving beyond current surface-level evaluations. The post Google’s new plan to ...

Explore essential statistical strategies for accurate protein quantification and differential expression analysis.

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...

Several studies have predicted that not all geomagnetic reversals have been discovered, but it was unknown in which periods they might be hidden. Researchers led by the National Institute of Polar ...

One ball on a Plinko board is unpredictable. Drop a thousand and they form a near-perfect bell curve—one of math’s most powerful ideas for 150+ years.

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it step by step, and see real-world examples.

Q4 2025 Earnings Call February 27, 2026 3:00 AM ESTCompany ParticipantsMarco Beenen - Chief Executive OfficerStåle Andreassen ...