Abstract: For a relatively small labeled dataset from high-dimensional generalized linear models with block-wise missing covariates and a large unlabeled dataset, we utilize a model-assisted approach ...

In EC&M Code Conversations highlights, Ellen Parson, editor-in-chief of EC&M, is highlighting some of the most popular Code content from the magazine and website, but this time brought to you in audio ...

For decades, chronic disease management in Medicare has been hampered by a fee-for-service payment system that rewards volume and activity rather than true clinical improvement. This model created ...

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.

MISMO provides the shared data model and prescriptive standards that create the common language enabling consistent, scalable, and modern mortgage lending across the industry Ask five mortgage ...

Imad was a senior reporter covering Google and internet culture. Hailing from Texas, Imad started his journalism career in 2013 and has amassed bylines with The New York Times, The Washington Post, ...

California-based startup Subtle Computing is tackling the problem of capturing people’s voices in noisy environments with its own voice-isolation models — a technology that could benefit voice-based ...

The Event Horizon Telescope only recently gave us the first images of the environment immediately surrounding a black hole. Since then, it has been boosting the resolution and filling in the details ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...

ABSTRACT: This study presents the Dynamic Multi-Objective Uncapacitated Facility Location Problem (DMUFLP) model, a novel and forward-thinking approach designed to enhance facility location decisions ...