digna Expands Data Analytics Capabilities with New Time-Series Analysis and Validation Features

Vienna, Austria--(Newsfile Corp. - April 15, 2026) - digna has announced Release 2026.04 of its data quality and ...
eLife

Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding in naturalistic listening designs

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.
Healio

GLP-1s may reduce ED visits, infections and revisions for several orthopedic procedures

Results presented here showed GLP-1 receptor agonists may be associated with lower ED utilization and a reduction in surgical ...
The Island

Science-driven health policies key to tackling emerging challenges — UNFPA

Marking World Health Day on April 7, health experts have called for a stronger commitment to science-based decision-making to address increasingly complex and evolving health challenges in Sri Lanka ...
Devdiscourse

Blind trust in AI models could lead to flawed decisions across industries

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...
IEEE

Sparse regression codes for multi-terminal source and channel coding

Abstract: We study a new class of codes for Gaussian multiterminal source and channel coding. These codes are designed using the statistical framework of high-dimensional linear regression and are ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...