A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...
Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...
For each of these 160 researchers, the Niels Bohr Library & Archives will forever be connected to them, in a footnote at ...
“Many foundational problems in perception, multimodal reasoning, and agent coordination are being actively addressed in 2026.
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 ...
Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...
From computers to smartphones, from smart appliances to the internet itself, the technology we use every day only exists ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
The power that makes electric vehicles travel further and smartphones last longer comes from battery materials. Among them, the core material that ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results