The Algorithm That Counted On No One Appealing

A federal court ordered UnitedHealth to reveal how its nH Predict claims algorithm worked. The lawsuit’s real story is the ...
eLife

High-frequency spike inference with particle Gibbs sampling

A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...
Nature

Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
JD Supra

Trade Secrets and AI — Calculating the Odds of Protection

This article is part of the “Defending the Algorithm™” series and was written by Pittsburgh, Pennsylvania Business and IP Trial Lawyer Acacia B. Perko, Esq., with research and drafting assistance from ...
PNAS

Quantum advantage in variational Bayes inference

Quantum machine learning (QML) is an emerging research field that deals with quantum algorithms for data analysis. It is hoped that QML will yield practical demonstrations of quantum advantage by ...
GitHub

Composable inference algorithms with LLMs and programmable logic.

decoding is a library for scaling the inference-time capabilities of LLMs, enabling users to easily solve difficult problems. The library is built around simple sampling and reranking patterns that ...
Psychology Today

Why I'm All About That Bayes (No Trouble)

Whether in everyday life or in the lab, we often want to make inferences about hypotheses. Whether I’m deciding it’s safe to run a yellow light, when I need to leave home in order to make it to my ...