Federal authorities are offering a reward of up to $10 million for information leading to the identification or location of a Russian state cyber group that has compromised thousands of Signal and ...

Company will license its 3D ECG signal technology to established partners, moving beyond direct medical device sales Advancing toward heart attack detection as a key expansion of the platform ...

Artificial intelligence programs can spot patterns in electrocardiograms that humans miss. Now, one program is going to be widely available — for free — to doctors. By Gina Kolata Gina Kolata has been ...

This project uses PyTorch to implement a CNN model for classifying atarayo, yorushika, yoasobi and zutomayo, which is suitable for beginners who ardently love Japanese music (such as me) in computer ...

Abstract: Electrocardiogram (ECG) signals inherently encode both localized fluctuations and long-range temporal dynamics, serving as essential indicators for accurate cardiovascular diagnosis. With ...

Abstract: This study investigates the use of convolutional neural networks (CNNs) for real-time detection of cognitive load from electrocardiographic (ECG) signals. ECG recordings from the WESAD and ...

A ruby gem to extract structured data from Google Local Search Results using the serpapi/bert-base-local-results model, enabling parsing, classification, and information extraction from English HTML ...