PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference, previously implemented in MATLAB. VBMC is an approximate inference method ...

The interpretable machine learning method is important in drug discovery. Unlike traditional ensemble learning methods, this paper proposes an interpretable algorithm based on Bayesian rule extraction ...

OK, not exactly a computer — more like, the wild array of technologies that inform what we consume on our computers and phones. Because on this episode, we're looking at how AI and race bias ...

2.3.3 Tracklet Linking Using a Bayesian Belief Matrix The first step of the tracking algorithm is to assemble tracklets by linking cell detections over time that do not contain cell division events ...

A new technology called Codex generates programs in 12 coding languages and even translates between them. But it is not a threat to professional programmers.