Introduction The moment I felt the most cold sweat in my machine learning career was during an internal review when I was ...

This paper puts forward a Bayesian unsmoothing method to model smoothing parameters probabilistically which mitigates ...

Last week The BMJ published an investigation alleging that the algorithm for spotting safety signals after COVID vaccination ...

"Drinking plenty of milk makes bones stronger"—this belief has been a staple of nutritional education for the past 70 years. However, looking at meta-analyses of observational studies, the ...

U.S. health officials knowingly relied on a compromised algorithm to detect signals of harm from mRNA COVID-19 vaccines and ...

US health officials knowingly relied on a compromised algorithm to detect signals of harm from mRNA covid-19 vaccines and ...

Geophysical data offer incomplete clues about the subsurface. Bayesian inversion turns them into plausible scenarios and ...

T-rate, a new Bayesian tool that reconstructs changing fault stress from earthquake rates, reveals a late stress increase before the 2008 Reno–Mogul magnitude 5.1 earthquake.

Stanford researchers have directly tracked a single quantum of mechanical vibration, or phonon, abruptly disappearing from a microscopic resonator in real time. A superconducting qubit repeatedly ...

Two of artificial intelligence’s most powerful yet fundamentally different tools are quietly merging, and a new open-access scientometric review has, for the first time, mapped exactly how fast, how b ...