Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Seasoned manufacturing professionals know the assets that make their products – the assembly robots, CNC machines, and conveyor belts – are just as important as the final products themselves. These ...

Daley Quinn covers lifestyle topics including home and food for Southern Living. For months, my husband and I couldn’t figure out where the mysterious stains on our clothes were coming from. That was, ...

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

The subjects in the research videos created by Timothy Dunn, an assistant professor of biomedical engineering at Duke University, aren’t immediately obvious. Rather than show tufts of fur or swishing ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.

Artificial intelligence and machine learning projects require a lot of complex data, which presents a unique cybersecurity risk. Security experts are not always included in the algorithm development ...

Zhu et al. (1) estimated “annual global losses of 4.11 to 13.52% […] for main crops” due to microplastic (MP) and nanoplastic (NP) pollution and concluded that “These findings underscore the urgency ...