Researchers explore AI's role in scientific modeling, from historical breakthroughs to modern Bayesian frameworks like ModelSMC.
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 ...
Generative AI has reshaped how software gets built. What began as line-by-line autocomplete now spans full application ...
New research unifies diverse Quantum Smoothing Theories using an extended retrodiction method for estimating open quantum ...
The foundational work, titled "Medical superintelligence: foundations and aspirations" (authored by Xiaoxuan Liu, Mayank ...
Researchers have introduced new dimension and model reduction methods that extend optimal Bayesian inference to problems with ...
Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier ...
Addressing urban air pollution requires identifying, quantifying, and mitigating emission sources, yet bottom-up inventories ...
The aircraft with an aerial detector traced the radionuclide's identity, activity, and location nearly 100 feet above the ...
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 ...
We will take a deep dive into reliable AI-related papers published on arXiv around the last day (around October 21, 2026), ...
A new airborne radiation detection approach accurately estimated radiation source identity, activity, and location during a ...