DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This ...

Magnetoencephalography (MEG) captures neural activity with high temporal and spatial resolution, but it typically discards other biopotentials, such as cardiac signals, as noise. Here, we demonstrate ...

Attackers are actively exploiting a critical vulnerability in MongoDB to steal sensitive information directly from an affected server's memory. The attacks appear to have started on Dec. 29, barely ...

Abstract: A wavelet-based electrocardiogram (ECG) data compression algorithm is proposed in this paper. The ECG signal is first preprocessed, the discrete wavelet transform (DWT) is then applied to ...

Aortic Stenosis is a Serious and Widespread Condition; The AI-ECG Algorithm Offers a Powerful Diagnostic Solution Designed for Seamless Integration with Hospital EHR Systems Southlake, TX, June 04, ...

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

The world runs on data, and businesses increasingly rely on it. However, traditional data sourcing methods often present challenges related to diversity, transparency, privacy, and cost. This article ...

A free app called CompactGUI based on Microsoft's own technology is able to save massive space with little to no impact on gaming performance. It is no secret that modern games eat up a ton of disk ...

Researchers from Rice University and startup xMAD.ai have detailed Dynamic-Length Float (DFloat11), a technique achieving approximately 30% lossless compression for Large Language Model weights stored ...

Heart failure (HF) is a complex and varied condition that affects over 50 million people worldwide. Although there have been significant strides in understanding the underlying mechanisms of HF, ...