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

In this video interview, David Morton, PhD, director of biostatistics at Certara, reflects on the growing role of Bayesian approaches in modern drug development, emphasizing their potential to improve ...

Existing loss of well control event indicators fall short of predicting events in an accurate and timely manner due to a lack ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as ...

A radical idea that resolves many quantum paradoxes suggests there is no objective view of reality. How can the cosmos be stitched together from interlocking perspectives?

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

In 2020, astronomers discovered a violent cosmic event that has led them to rethink how extreme pairs of astronomical objects form. These pairs are capable of producing powerful cosmic collisions.

There's no time like the presence.

Within Seven Years of High School Graduation, Early Trends Point to Charter Public School Alumni with Higher Employment, Salaries and Homeownership than Their Peers SEATTLE, March 18, 2026 /PRNewswire ...

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 ...