Researchers have introduced new dimension and model reduction methods that extend optimal Bayesian inference to problems with ...

U.S. researchers have found a new method that aids faster and more accurate radioactive ...

Researchers developed purNPE, a simulation-based Bayesian deep-learning framework that enables uncertainty-aware tumor ...

A new airborne radiation detection approach accurately estimated radiation source identity, activity, and location during a ...

Should I keep sticking with this prime spot (or this lure I have confidence in) that I'm casting into right now, or should I ...

Researchers explore AI's role in scientific modeling, from historical breakthroughs to modern Bayesian frameworks like ModelSMC.

We will take a deep dive into reliable AI-related papers published on arXiv around the last day (around October 21, 2026), ...

Groundwater in many areas of the U.S. and across the globe is being depleted as pumping for drinking water and agriculture outpaces nature's ability to refill aquifers. In the most severe cases, this ...

Latest release delivers expanded modeling capabilities, improved computational performance, and greater reproducibility ...

Every cancer carries the history of its own evolution, hidden in its genome. Modern DNA sequencing can catalogue millions of mutations and profile tumours across space and time, but sequencing alone ...

The Space Nuclear Power Corporation (SpaceNukes) was awarded an other transaction agreement from the Defense Advanced ...

A new radiation detection method correctly identified single and mixed radioactive sources during six-second helicopter flyovers, according to a University of Michigan Engineering and Paul Scherrer ...