The new monitoring platform aims to detect suspicious trading as prediction markets face scrutiny over insider information.
Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, United States College of Health Solutions, Arizona State University, Phoenix, United States ...
One of the most deadly and dangerous volcano hazards isn’t lava. Mudflows called lahars can come without clear warning.
Researchers at the University at Albany and Rutgers University have developed an early-warning framework that can predict harmful social media interactions before they erupt, paving the way for ...
Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate.
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Abstract: Differentiating myocardial scar tissue from healthy myocardium and imaging artifacts is essential in clinical practice. This study investigates the feasibility of using radiomics and deep ...
A Physics-Inspired Deep Learning Framework With Polar Coordinate Attention for Ptychographic Imaging
Abstract: Ptychographic imaging confronts inherent challenges in applying deep learning for phase retrieval from diffraction patterns. Conventional neural architectures, both convolutional neural ...
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