Heil, with corporate headquarters in Chattanooga, Tennessee, and a manufacturing facility in Payne, Alabama, has introduced its Common Body platform, an engineering advancement that brings together ...

ABSTRACT: The Edinburgh Postnatal Depression Scale (EPDS) is widely used in epidemiological, research, and clinical contexts. Although it has clearly established cut-off points, its psychometric ...

Abstract: Random feature latent variable models (RFLVMs) are state-of-the-art tools for uncovering structure in high-dimensional, non-Gaussian data. However, their reliance on Monte Carlo sampling ...

Latent variable modeling comprises a suite of methodologies that infer unobserved constructs from observable indicators, thereby enabling researchers to quantify abstract phenomena across diverse ...

This is the third in a three-blog series on PLDC. The first installment was “Improving Uniformity and Linearity for All Masks,” from January 29, 2025. The second blog was “Three Ways Curvy ILT ...

Suvra Pal, an associate professor of statistics in The University of Texas at Arlington's Department of Mathematics, has been awarded a $1.8 million grant from the National Institutes of Health to ...

Abstract: Cognitive modeling commonly relies on asking participants to complete a battery of varied tests to estimate attention, working memory, and other latent variables. In many cases, these tests ...

A new startup founded by a former Google DeepMind scientist is exiting stealth with $50 million in funding. Latent Labs is building AI foundation models to “make biology programmable,” and it plans to ...

Artificial intelligence models face a fundamental challenge in efficiently scaling their reasoning capabilities at test time. While increasing model size often leads to performance gains, it also ...

On January 20, DeepSeek, a relatively unknown AI research lab from China, released an open source model that’s quickly become the talk of the town in Silicon Valley. According to a paper authored by ...