Concr CEO Irina Babina and CTO Matthew Griffiths unpack how Bayesian foundation models can excel at uncertainty management to ...

In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.

That's the purpose of the estimand framework—to define ahead of time, before you even start randomizing patients, everything that can happen, and then define the methods you will use to attenuate the ...

AI-driven material development and new additive manufacturing technology are accelerating new aluminum alloy, battery, and material processing innovations.

With rising temperatures intensifying precipitation and flood risks, water authorities are rethinking dam safety and ...

Objective probability estimates the odds of an event occurring through data analysis. It uses concrete measures instead of guesses to provide a reliable forecast.

As prediction markets like Kalshi and Polymarket offer more ways to bet on elections, war, the Oscars and more, their dangers are growing.

Celebrate Pi Day and read all about how this number pops up across math and science on our special Pi Day page. Grab something circular, like a cup, measure the distance around the circle, and divide ...

Prediction markets have always attracted traders who thrive on information advantages—faster news processing, sharper models, and disciplined risk management. In ...