Wired

An AI Model for the Brain Is Coming to the ICU

The Cleveland Clinic is partnering with San Francisco–based startup Piramidal to develop a large-scale AI model that will be used to monitor patients’ brain health in intensive care units. Instead of ...
Scientific American

This Number System Beats Binary, But Most Computers Can’t Use It

The Babylonians used separate combinations of two symbols to represent every single number from 1 to 59. That sounds pretty confusing, doesn’t it? Our decimal system seems simple by comparison, with ...
Forbes

One-Size-Fits-All Data Classification Doesn’t Fit HR's Needs

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...
Forbes

How AI Is Transforming Data Classification

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...
Frontiers

The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network

High frequency oscillations are important novel biomarkers of epileptic tissue. The interaction of oscillations across different time scales is revealed as cross-frequency coupling (CFC) representing ...
Scientific Research Publishing

A State of the Art: EEG-Based Classification and Recognition Models of Mental Stress ()

Over the past several decades, numerous methods have been applied by research and professionals to detect and measure mental stress, varying from subjective methods such questionnaires and ...
IEEE

Investigation of Efficiency and Accuracy of Deep Learning Models and Features with Electroencephalogram (EEG) Data for Binary Classification

Abstract: Electroencephalogram (EEG) data is regularly used with Machine Learning to further develop the Medical Technology field. This research investigates the effectiveness of the popular Deep ...
IEEE

Binary Classification of Spinal Cord Injury Patients’ EEG Data Based on the Local Linear Embedding and Spectral Embedding Methods

Abstract: Spinal cord injury (SCI) is a chronic disease that damages the spinal cord, leading to the loss of neuronal function, especially sensorimotor functions. Brain-Computer Interface (BCI) ...