Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

Voiso, a global leader in AI-powered contact center solutions, has reaffirmed its commitment to partnership-driven growth ...

As organizations modernize industrial systems, high-integrity functional safety strategies are now critical for reducing risk and ensuring compliance. This report delivers actionable insight into the ...

ChatGPT 5.2 is arriving with a bold claim: its Thinking mode reportedly matches or outperforms human experts on 70.9% of ...

Why would one of the most sophisticated humanoid robots in the world want to get up from the floor in a way no human ever would? The answer lies deep in the interaction between sensor limitations, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...