Algorithms are not innocent codes based on machine learning and artificial intelligence, but ideological devices that shape ...

K-Means: A modeling technique that uses groups to identify central tendencies of different groups of data.; Mean-Shift: The algorithm shifts the mean so that "bubbles," or maxima of a density ...

The intervention tested was the Conducted AF-Response Algorithm (CAFR), a device-based algorithm designed to optimize biventricular stimulation in patients with atrial fibrillation. The study compared ...

Algorithmic fairness accounts for direct model performance after rigorous and thoughtful research, but also considers the social and political processes needed to advance health equity among subgroups ...

NEW YORK CITY, NY / ACCESS Newswire / June 26, 2025 / AstraBit has integrated a portfolio optimization engine grounded in ...

This article describes a new frequency- domain multi-input multioutput linear time-invariant (LTI) system identification algorithm for accurate model construction suitable for motion control systems.

A new algorithm enables smartwatch fitness trackers to more accurately monitor energy expenditure of people with obesity ...

In addition, data assimilation algorithm, as a technology combining observation data with numerical model, optimizes the initial conditions or state variables of the model by fusing observation data ...

To gain a competitive edge with AI, healthcare companies should reclassify their data in a uniform way and upskill staff, ...

New data rules will require organisations using AI to perform due diligence on their algorithmic software. This change is expected to affect companies involved in AI products or services. The ...