Functional near-infrared spectroscopy (fNIRS) is a non-invasive technique with significant potential for applications in brain-computer interfaces (BCIs) including mental health diagnostics and ...

Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the visual ...

A known (labeled) dataset is used to optimize the algorithm and subsequently used to estimate the molecular properties of an unknown (unlabeled) dataset. The Test Split, also known as the “Holdout ...

Sleep is one of the key factors of well-being affecting life quality and longevity, which makes sleep monitoring an important task. In this paper, we propose the transfer learning approach for sleep ...